CONTENTS. Page. School of Computing

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2 CONTENTS Page Part II: PROGRAMMES C School of Computing 1. Faculty s Commitment 2. Key Contact Information 5 3. Undergraduate Education Degrees Offered Degree Requirements Programme Structure Advanced Placement Credits and Exemptions Workload Continual assessment Leave of Absence Bachelor of Computing in Communications and Media Bachelor of Computing in Computational Biology Bachelor of Computing in Computer Science Bachelor of Computing in Computer Science von Neumann Programme Bachelor of Computing in Computer Science Turing Programme Bachelor of Computing in Electronic Commerce Bachelor of Computing in Information Systems Bachelor of Engineering in Computer Engineering Multidisciplinary Opportunities Double Degree Programme with another Faculty within NUS Double Degree Programme in Computer Science/ Information Systems and Business Administration/ Business Administration (Accountancy) (Honours/non-Honours) Double Degree Programme in Computer Science and Mathematics/Applied Mathematics (Honours/non- Honours) Double Degree Programme with French Grandes Écoles Double Major programmes Double Major in either Management or Management (Technology) Double Majors in the Faculty of Arts and Social Sciences Double Majors in the Faculty of Science Minor programmes 3 3. Special Programmes Advanced Technology Attachment Programme Special Programmes in Computer Science Undergraduate Research Opportunity Programme University Scholars Programme NUS Overseas Colleges Programme Student Exchange Programme Incubation Project 39 2

3 3.5 Financial Assistance and Awards Faculty-administered Scholarships Faculty-administered Awards/Funds Faculty-administered Prizes 0. Graduate Education 0.1 Research Programmes Degrees Offered Degree Requirements Financial Assistance and Awards 1.2 Coursework Programme Degrees Offered Degree Requirements Financial Assistance and Awards 3 5. Other Administrative Information 3 Website: 3

4 Part II: PROGRAMMES C School of Computing 1. Faculty s Commitment Brief Introduction Established in 1998, the NUS School of Computing (SoC) is home to some 200 faculty members who have come from leading universities worldwide. The School has a student population of over 2,000, a quarter of them graduate students. The School operates on the clear recognition that computer science fundamentals play a critical role in many emerging technologies, and also the key role computational knowledge continues to play in the IT industry. This operating philosophy drives its approach to both teaching and research. The School offers undergraduate degree programmes that are undergirded by strong grounding in the fundamentals of computer science, covering four main areas of specialisation: computational biology, business, computer engineering and digital media. We also offer graduate degree programmes by coursework or research, with greater intensity in focus within these areas of specialisations. The curricula are designed according to the recommendations of the Association for Computing Machinery (ACM), the Association for Information Systems (AIS), and the Computer Society of the Institute of Electrical and Electronic Engineers (IEEE), which are the foremost authorities in the field of computing. Consequently, the knowledge units that are to be imparted within the curricula are recognised internationally, the practices instilled are sensitive to industrial development, and the pedagogy espoused adheres to tertiary IT education standards worldwide. The research initiatives at SoC are supported by a number of research laboratories and centres within the School. Fitted with equipment that is funded mainly by research grants, the laboratories and centres provide a common space for people with similar interests to exchange ideas and work together informally. The School is governed by the Executive Committee, and operates in consultation with an Industry Advisory Board. Educational Philosophy The programmes offered by the Department of Computer Science are founded on a wide variety of disciplines, with the goal of producing computer scientists who can integrate computing-related theories and practices, recognise the importance of abstraction, and appreciate the value of good engineering design. These programmes seek to prepare students for life-long learning that will enable them to move beyond today s technology to meet the challenges of the future. Furthermore, they include professional practices as an integral component of the undergraduate curriculum. These practices encompass a wide range of activities including management, ethics and values, written and oral communication, and team work. The programmes offered by the Department of Information Systems are multidisciplinary in nature. In addition to providing students with a strong foundation in computer science, these programmes also give students the benefits of learning from other disciplines, such as business studies and economics. The modules required by these programmes reflect their objectives, which are to train graduates who are able to develop and manage business information systems and who understand how Internet technology can be deployed in business and organisations. Consequently, students are given the wide option of taking less technical, more business-oriented modules offered by the Department as well as the School of Business. The School has also gained recognition from ABET Inc., the world respected US-based accreditation agency, for its Computer Science and Information Systems programmes. The agency certified that the programmes are substantially equivalent to accredited programmes in the United States, which is the standard status that the agency offers to universities outside the United States. Please refer to: for up-to-date information on the School.

5 2. Key Contact Information Title & Name For more detailed information, please visit the School s website at: Designation/Responsibility Telephone (6516-XXXX) Prof OOI Beng Chin Dean 782 comdean@nus.edu.sg Assoc Prof KHOO Siau Cheng Assoc Prof LEONG Tze Yun Prof TAN Kian Lee Assoc Prof TAN Tiow Seng Assoc Prof BROWN, Michael Scott Assoc Prof ROYCHOUDHURY, Abhik Assoc Prof David HSU Assoc Prof CHAN Chee Yong Assoc Prof Janice LEE Assoc Prof LEE Wee Sun Prof WONG Lim Soon Prof Wynne HSU Assoc Prof TEO Hock Hai Assoc Prof CHAN Hock Chuan Vice-Dean (Academic Affairs and Undergraduate Studies) Vice-Dean (External Relations) Vice-Dean (Research Programmes) Vice-Dean (Graduate Studies) Assistant Dean (External Relations) Assistant Dean (Graduate Studies) Assistant Dean (Graduate Studies) Assistant Dean (Undergraduate Studies) Assistant Dean (Undergraduate Studies) Assistant Dean (Undergraduate Studies) Head Department of Computer Science Deputy Head Department of Computer Science Head Department of Information Systems Deputy Head Department of Information Systems 860 khoosc@comp.nus.edu.sg 773 leongty@comp.nus.edu.sg 2862 tankl@comp.nus.edu.sg 676 tants@comp.nus.edu.sg 7097 brown@comp.nus.edu.sg 8939 abhik@comp.nus.edu.sg 2978 dyhsu@comp.nus.edu.sg 6736 chancy@comp.nus.edu.sg 2905 leeml@comp.nus.edu.sg 526 leews@comp.nus.edu.sg 2726 dcshead@nus.edu.sg 79 whsu@comp.nus.edu.sg 368 dishead@nus.edu.sg 3393 chanhc@comp.nus.edu.sg Mr Aaron TAN Academic Advisory Coordinator 2906 tantc@comp.nus.edu.sg Dr Alan CHENG Mr RAMCHAND, Anand Mohan Dr NG Boon Yuen Dr Colin TAN Assoc Prof TAN Sun Teck Undergraduate Advisor (for students matriculated in AY2008/09 and AY ) Undergraduate Advisor (for students matriculated in AY2005/06, AY2008/09 and AY ) Undergraduate Advisor (for students matriculated in AY2006/07 and AY ) Undergraduate Advisor (for students matriculated in AY2006/07 and AY ) Undergraduate Advisor (for students matriculated in AY2005/06, AY2008/09 and AY ) 8732 hcheng@comp.nus.edu.sg 2990 anand@comp.nus.edu.sg 892 ngby@comp.nus.edu.sg 7352 ctank@comp.nus.edu.sg 2778 tanst@comp.nus.edu.sg 5

6 Dr VOICU Razvan Dr WADHWA Bimlesh Dr Irene WOON Undergraduate Advisor (for students matriculated in AY2007/08 and AY2010/11) Undergraduate Advisor (for students matriculated in AY2007/08 and AY2010/11) Undergraduate Advisor (for students matriculated in AY2007/08 and AY2010/11) Ms TOH Mui Kiat Associate Director (Undergraduate Studies) 6735 Ms Pamela LIM Manager (Undergraduate Studies) 370 Mr LOW Mun Bak Manager (Undergraduate Studies) 5129 Ms Agnes ANG Manager (Graduate Studies) 522 Ms Alexia LEONG Associate Director (External Relations) Undergraduate Education The School of Computing aims to provide a sound and forward-looking education to equip graduates for careers in IT and related fields. To this end, our courses integrate problem-solving skills with a foundation in IT and business. Graduates will be able to integrate new technology and develop themselves into future IT leaders, and to proceed to further studies. The School offers direct entry to four-year undergraduate degree programmes, designed to meet the needs of distinct segments of the IT job market, and to better serve students with different interests, background, abilities and career orientation. Four-year programmes are designed to educate tomorrow s technical leaders who will pioneer the development of novel technology. The programmes emphasise in-depth mastery of the scientific, engineering and organisational foundations that underlay the continuing progress in information and communications technologies and their applications. The maximum candidature period for a four-year programme is five years. 3.1 Degrees Offered The School of Computing offers five full-time Bachelor of Computing programmes, leading to: Bachelor of Computing in Communications and Media; Bachelor of Computing in Computational Biology; Bachelor of Computing in Computer Science; Bachelor of Computing in E-Commerce; and Bachelor of Computing in Information Systems. Its Department of Computer Science jointly offers the following full-time Bachelor of Engineering programme with the Department of Electrical and Computer Engineering, Faculty of Engineering: Bachelor of Engineering in Computer Engineering The School also offers a wide array of minors and special programmes to full-time undergraduate students to provide more breadth and depth in their studies. Please refer to our School s web page at: for the latest details on the degree programmes. 3.2 Degree Requirements Programme Structure The overall degree requirement is based on Modular Credits, with at least 160 Modular Credits (MCs) for the four-year programmes. To graduate, a student must obtain a Cumulative Average Point (CAP) of not less than Each programme consists of modules divided into three main categories: 1. Programme Requirements 2. University Level Requirements (ULR) 3. Unrestricted Electives 6

7 A module can only be counted towards one category. No double counting is allowed. University Level Requirements, which comprise about 12.5% of the total MC requirement, include General Education, Singapore Studies and Breadth electives: year course MCs University Level Requirements General Education Modules (GEM) 8 Singapore Studies Breadth: Electives outside student s Faculty 8 Total 20 There are two subject groups, within which GEMs are placed, namely, (i) Subject Group A: Science and Technology; and (ii) Subject Group B: Humanities and Social Sciences. Students will be required to read at least one GEM from Subject Group B. Each GEM is worth MCs. To facilitate the broadening of knowledge, the GEMs which students select to read should not be those cross-listed with their declared major/minor areas. Students need to read one Singapore Studies module. Singapore Studies modules carry the SS prefix in their module codes. Students should ensure that they do not register a cross-listed module bearing the GE code for fulfilment of the SS requirement. For students pursuing a Bachelor of Computing programme, the Breadth electives must be from outside the School of Computing. For students pursuing the Bachelor of Engineering (Computer Engineering) programme, the Breadth electives must be from outside both the Faculty of Engineering and School of Computing. Unrestricted Electives enable students to pursue their academic interests and aspirations. Students may also use Unrestricted Electives to satisfy partially or wholly the requirements of other programmes. As long as the appropriate prerequisites are met, students can satisfy the Unrestricted Electives requirement by taking modules from any of the Departments/Faculties at any level. The limit on the number of Level-1000 modules to be counted towards fulfilment of graduation requirements is 60 MCs for 160-MC programmes for students admitted from AY onwards. For students admitted from AY2007/8 onwards, the maximum candidature for: (i) a Bachelor with Honours degree with a minimum of 160 MCs is five years; and (ii) a typical double degree programme (which may involve between 180 and 200 MCs) is six years. Students in the Computational Biology programme must check the special requirements for fulfilment of Unrestricted Electives. Programme Structure for Bachelor of Computing Students (except those doing special programmes in Computer Science Turing Programme and von Neumann Programme) with CAP.00 or above can opt to do CP101 B. Comp. Dissertation. For students aiming for first class honours, it is a mandatory requirement for them to do CP101 B. Comp. Dissertation and obtain at least an A- grade for the dissertation. Students can also complete 12 MCs (in place of the 12 MCs from CP101) by taking their respective programme electives. Programme selection or course transfer Before the end of two semesters of studies, students will select their appropriate programmes from their respective department based on their interests, career orientations and the results of the modules taken. They are allowed to apply for transfer among different Bachelor of Computing programmes within a department during the first year of studies. Transfer of programmes between the two departments: Computer Science and Information Systems follows the course transfer procedure administered by the NUS Office of Admissions at: Students may request to be transferred into the Bachelor of Engineering (Computer Engineering) programme at the end of the second semester. Success of transfer will depend on the quota available in the targeted programme and the academic standing of the students. 7

8 Programme Structure for Bachelor of Engineering (Computer Engineering) Please refer to Section R2 of Part II of this bulletin for details Advanced Placement Credits and Exemptions Students who are holders of GCE A Levels, International Baccalaureate or equivalent qualifications* may be granted advanced placement and exemption of up to 20 MCs for Programme requirements based on performance in placement tests set by the relevant host faculty. The placement test should be taken at the point of admission to the University. SoC students can apply to sit for a placement test for CS1010 Programming Methodology if they have prior programming experience. Polytechnic Graduates admitted to School of Computing Polytechnic graduates who are admitted to NUS Computing Courses may receive up to 0 MCs of module exemptions from the following lists: a. Up to 8 MCs from the University Level Requirements (ULR) (one Humanities and Social Science GEM module and one Breadth module). The 8 MCs will be counted as part of the 60-MC limit of level-1000 modules that students are allowed to read in fulfillment of the 160 MCs required for graduation.* b. Up to 12 MCs from Unrestrictive Elective Modules (UEMs). The 12 MCs from UEM will NOT be counted as part of the 60-MC limit of level-1000 modules that students are allowed to read in fulfillment of the 160 MCs required for graduation.* Specific exemptions* of up to 20 MCs from programme requirements comprising of one or more modules as determined by the School on a case-by-case basis. Some of these exemptions may require advance placement test. *Note: 1. The granting of 8 MCs for ULR and 12 MCs from UEM is automatic and these MCs are tagged as Level-1000 modules. 2. The advanced placement of 20 MCs is equivalent to one semester of advanced standing. 3. The validity period for qualifications presenting for the granting of advanced placement credits is 5 years at the point of admission Workload Students must have a workload of at least 15 MCs per semester, except in their graduating semester. Students who fail to sign up for tutorial/laboratory/recitations for their module(s) will be automatically withdrawn from class Continual Assessment Continual assessment (CA) will be taken into account and it normally contributes to between 0% and 100% of the final grade of a module unless otherwise stated by the department. Homework, quizzes, tests, practicals, essays, projects, seminar presentations, performance during tutorials, field trips and other project work are bases for continual assessment Leave of Absence Students intending to apply for leave of absence should first consult their academic advisors to understand the implications involved. Students must submit an online application via myisis. Supporting documents must be attached with the application. For medical leave, students must submit the original copy of the medical certificates issued by registered general practitioners to the respective offices, by the next working day for the period of medical leave taken. For students in a Bachelor of Computing programme, all supporting documents must be submitted to the Office of Undergraduate Studies, School of Computing (COM1 #02-05). For students in Bachelor of Engineering (Computer Engineering) programme, all supporting documents must be submitted to Department of Electrical and Computer Engineering, Faculty of Engineering (E-05-5) Bachelor of Computing in Communications and Media The four-year Bachelor of Computing in Communications and Media aims to train students in the technological underpinnings of interactive and digital media technologies, as well as the skills of media design and content creation, tempered with an understanding of the artistic and human aspects. The programme has been designed to facilitate the integration of all these aspects. Moreover, students who are passionate about games and wish to gain additional knowledge and practical experience in games development will be able to pursue a Specialisation in Games under this programme. The following aspects of interactive media and games are covered in the programme: Foundations of IT: This refers to the basics of computing required to understand, design, and extend media systems. Information encoding, customisation, and repurposing: Information encoding, such as XML, is required for information to be mass communicated on the Internet and World-Wide Web (WWW). Customisation refers to the personalisation of information to 8

9 individuals and groups which the technology allows, and repurposing refers to the customisation of information for heterogeneous networks (wired and wireless) as well as the plethora of end devices (static and mobile, with varying display plus communication capabilities). Text, multimedia information analysis and processing: These refer to the technological basis of various interactive digital media (text, image, graphics, audio and video) and the various types of processing, such as data rate transformation, summarisation, etc. Human-computer interaction: This refers to the human-centred design of intuitive and flexible interfaces for people to communicate via end devices on Internet fringes. Games design and games technology: This refers to the design of games and the technologies for the development of digital games. Entertainment technology: This refers to technologies required to develop interactive games and virtual reality systems. Degree Requirements The Bachelor of Computing (Communications and Media) programme, B.Comp. (CM), requires at least 160 MCs. (i) PROGRAMME REQUIREMENTS (Total of 120 MCs) Computer Science Foundation CS1010 Programming Methodology 1 CS1020 Data Structures and Algorithms I 2 CS1231 Discrete Structures CS2010 Data Structures and Algorithms II 2 CS2100 Computer Organisation CS2102 Database Systems CS2103T Software Engineering 3 CS2105 Introduction to Computer Networks Communications & Media Breadth & Depth CS320 Human-Computer Interaction CS321 Computer Graphics CS328 Design of Interactive Systems CS329 Elements of User Interface Design Complete 20 MCs from any CM Programme Elective Group, with at least 12 MCs at level-000 or above. 8 MCs of Computer System Project modules from the following list, or modules approved by the Department of Computer Science: CS3281 Thematic Systems Project I and CS3282 Thematic Systems Project II, or CS201 Interactive Systems Project I and CS202 Interactive Systems Project II Either CP101 B.Comp. Dissertation or Complete 12 MCs from any CM Programme Elective Group, with modules at level-000 or above, or modules approved by the Department of Computer Science. Enrichment NM2101 Theories of Communications and New Media IT Professionalism IS1103 Computing and Society CS2101 Effective Communication for Computing Professionals Mathematics & Sciences MA1301 Introductory Mathematics 5 MA1521 Calculus for Computing CS1010 ( MCs) can be replaced by CS1101S Programming Methodology (5 MCs). CS1020 ( MCs) and CS2010 ( MCs) can be replaced by CS2020 Data Structures and Algorithms Accelerated (6 MCs). The remaining 2 MC will be added to the Unrestricted Electives Requirements. Students taking CS2103T Software Engineering must take CS2101 Effective Communication for Computing Professionals in the same semester. Students who specialise in games should refer to Specialisation in Games for the requirements of these modules. MA1301 is waived for students with A-level Mathematics. The MCs gained from the waiver should be used to read a letter-graded module. 9

10 MA1101R Linear Algebra I ST233 Probability and Statistics 7 Science Module (ii) (iii) UNIVERSITY LEVEL REQUIREMENTS (20 MCs) UNRESTRICTED ELECTIVES (20 MCs) Specialisation in Games To obtain a specialisation in Games, student must: 1. Read CS320 Human-Computer Interaction or CS32 3D Modeling and Animation. 2. Replace CS328 Design of Interactive Systems by CS213 Game Development. 3. Replace CS201 & CS202 Interactive Systems Project I and II by one of the following options: CS3281 & CS3282 Thematic Systems Project I and II CS203 & CS20 Game Development Project I and II. Take at least 20 MCs from any CM Programme Elective Group, with at least 12 MCs at level-000 or above. Among these 20 MCs, at least 12 MCs must be chosen from Elective Group C, with modules at level-3000 or above. Programme Elective Groups A) Interactive Systems Technology Group CS2106 Introduction to Operating Systems CS3103 Computer Networks and Protocols 8 CS3103L Computer Networks Laboratory CS320 Human-Computer Interaction CS323 Introduction to Artificial Intelligence CS325 Information Retrieval CS326 Hypermedia and World Wide Web CS328 Design of Interactive Systems CS333 Digital Media Production CS201 Interactive Systems Project I CS202 Interactive Systems Project II CS21 Multimedia Information Retrieval CS23 Computer Vision and Pattern Recognition CS28 Natural Language Processing CS29 Design of Advanced User Interfaces CS35 General-Purpose Computation on GPU CS37 Sound and Music Computing CS520 Theoretical Foundation of Multimedia CS521 Speech Processing CS526 Text Processing on the Web CS528 Systems Support for Continuous Media CS529 Audio in Multimedia Systems CS531 Computational Photography CS532 Multimedia Computing and Applications Other relevant modules approved by the Department of Computer Science B) Content Creation and Mass Communications Group NM2101 NM2102 NM2208 NM2210 Theories of Communications and New Media Communications and New Media Research Principles of Visual Communication Aesthetics of New Media Students pursuing a double degree in Computer Science and Mathematics/Applied Mathematics are recommended to replace MA1521 Calculus for Computing by MA1102R Calculus. Students pursuing a double degree in Computer Science and Mathematics/Applied Mathematics will take ST2131 Probability and ST2132 Mathematical Statistics in place of ST233 Probability and Statistics. Students who take CS3103 Computer Networks and Protocols must also take CS3103L Computer Networks Laboratory. 10

11 NM2219 NM320 NM3208 NM3215 NM20 NM205 NM206 NM210 NM520 NM5206 NM5210 Principles of Communication Management E-Learning Designing Content for New Media Advertising Strategies Ethics in Communications and New Media Digital Media Project Management Media and Communications Regulation User Experience Design Computer-Mediated Environments Emerging Media Interaction Design Critical Interactive Media Design Issues Other relevant modules approved by the Department of Computer Science C) Games Technology Group CS333 CS203 CS20 CS213 CS23 CS27 CS32 CS30 CS3 CS35 CS36 CS523 CS533 NM3216 NM5211 Digital Media Production Game Development Project I Game Development Project II Game Development Computer Vision and Pattern Recognition Graphics Rendering Techniques 3D Modeling and Animation Digital Special Effects Networked and Mobile Gaming General-Purpose Computation on GPU Game Console Programming 3D Game Programming Technology Advanced Computer Animation Games Design Serious Games & Educational Technology Other relevant modules approved by the Department of Computer Science. University Scholars Programme (Communications and Media) Students in the University Scholars Programme who choose the Bachelor of Computing (Communications and Media) major will follow the Communications and Media programme, but with the following variations: 1. They following modules will be replaced by appropriate First-Tier Scholars Modules: a. The University Level Requirements (20 MCs) b. CS2101 Effective Communication for Computing Professionals ( MCs) c. Science Module ( MCs) 2. They will take UROP modules CP3208 and CP3209 in place of CS201 & CS202 or CS203 & CS20. CP3208 and CP3209 are independent study modules (ISMs) and will be counted as two of the four Advanced Scholars Modules (8 MCs). Table 1: Summary of degree requirement for Bachelor of Computing in Communications and Media 9 Modules MCs Subtotals UNIVERSITY LEVEL REQUIREMENTS 20 PROGRAMME REQUIREMENTS 120 Computer Science Foundation 32 CS1010 Programming Methodology 10 CS1020 CS2010 Data Structures and Algorithms I 11 Data Structures and Algorithms II 11 CS1231 Discrete Structures 11

12 Modules MCs Subtotals CS2100 Computer Organisation CS2102 Database Systems CS2103T Software Engineering CS2105 Introduction to Computer Networks Communications & Media Breadth & Depth 56 CS320 Human Computer Interaction 12 CS321 Computer Graphics CS328 Design of Interactive Systems 12 CS329 Elements of User Interface Design 20 Modular credits from any CM Programme Elective Groups, with at least 12 MCs at Level-000 or above MCs of Computer System Project modules from the following list, or modules approved by the Department of Computer Science: CS3281 Thematic Systems Project I and CS3282 Thematic Systems Project II, or CS201 Interactive Systems Project I 12 and CS202 Interactive Systems Project II 12 8 Either: CP101 B. Comp. Dissertation Or Complete 12 MCs from any of the three CM Programme Elective Groups, with modules at Level-000 or above Enrichment NM2101 Theories of Communications and New Media IT Professionalism 8 IS1103 Computing and Society CS2101 Effective Communication for Computing Professionals Mathematics and Sciences 20 MA1301 Introductory Mathematics MA1521 Calculus for Computing 1 MA1101R Linear Algebra I ST233 Probability and Statistics 15 Science Module 16. UNRESTRICTED ELECTIVES 20 Grand Total There should not be any double-counting of a module s MC towards different requirements of the programme. CS1010 can be replaced by CS1101S Programming Methodology. 12

13 CS1020 and CS2010 can be replaced by CS2020 Data Structures and Algorithms Accelerated. The remaining 2 MCs will be added to the Unrestricted Electives Requirements. Students who specialise in games should refer to Specialisation in Games for the requirements of these modules. MA1301 is waived for students with A-level Mathematics. The MCs gained from the waiver should be used to read a letter-graded module. Students pursuing a double degree in Mathematics or second major in Mathematics are encouraged to read MA1102R Calculus in place of MA1521. Students should choose ST2131 (Probability) and ST2132 (Mathematical Statistics) in place of ST233 (Probability and Statistics) if they plan to pursue higher level statistics modules. A Science module can be LSM1301 (General Biology), LSM1302 (Genes and Society), PC113 (Physics III), PC11 (Physics IV), PC1221 (Fundamentals of Physics I), PC1222 (Fundamentals of Physics II), PC132 (Physics IIE) or courses approved by the Department of Computer Science Bachelor of Computing in Computational Biology Overview The main objective of this programme is to provide a multidisciplinary education, to produce graduates who would be equally at ease with algorithm design and mathematical and statistical analysis as they would be with biochemistry, biology/genetics, and wet-lab know-how. Besides an opportunity to pursue a career in IT, graduates from the programme will also be equipped for a career in the fast-paced pharmaceutical, biomedical or biotechnology industries. This will help meet the demand of the local market for talents with such skill sets. Moreover, the breadth of instructions will pave the way for good students to pursue graduate studies in Bioinformatics. Programme Structure The programme is structured such that both Computing and Faculty of Science students share a common core multidisciplinary curriculum (lower division) in their first two years of study. The lower division embraces a fundamental body of knowledge in which a computational biologist should be proficient. This body of knowledge consists of the following: Discrete mathematics and combinatorics, i.e., logic, sets, graphs, counting techniques, etc.; Probability and statistics, i.e., sample spaces, random variables, conditioning, distributions, design of experiments, significance tests, statistical inference, etc.; Algorithm design and proficiency in some current programming language, i.e., combinatorial algorithms, algorithmic paradigms, analysis and design, working knowledge of current languages (for example, C, C++, Java) and experience in writing actual nontrivial code; Organic chemistry and biochemistry; Biology and genetics, including a moderate amount of wet-lab experience. The upper division specialised track trains students in algorithmic design to facilitate the design of computationally efficient software and tools in both centralised and networking environments. Students in this track will pick up skills in software engineering, networking and advanced techniques in algorithmic design. Students may also take modules from the Computational Biology elective list. Degree Requirements The Computational Biology programme degree requires at least 160 MCs. Modules are classified as follows (note that every module can only be counted towards satisfying exactly one requirement): (i) PROGRAMME REQUIREMENTS (Total of 120/121 MCs) a. Common Essentials CS Programming Methodology CS1020 Data Structures and Algorithms I 18 CS2010 Data Structures and Algorithms II 18 CS2100 Computer Organisation CS2102 Database Systems CS2103T Software Engineering 19 CS2105 Introduction to Computer Networks b. Major Requirements CS1010 ( MCs) can be replaced by CS1101S Programming Methodology (5 MCs). CS1020 and CS2010 can be replaced by CS2020 Data Structures and Algorithms Accelerated. The remaining 2 MCs will be added to the Unrestricted Electives Requirements. Students taking CS2103T Software Engineering must take CS2101 Effective Communication for Computing Professionals in the same semester. 13

14 Level-1000 CS1231 LSM1101 LSM1102 MA1101R MA1102R Level-2000 CS2220 CS2101 Either LSM2101 or LSM2102 or LSM2103 Discrete Structures Biochemistry and Biomolecules Molecular Genetics Linear Algebra I Calculus Introduction to Computational Biology Effective Communication for Computing Professionals Metabolism and Regulation Molecular Biology Cell Biology Either LSM2201A Experimental Biochemistry or LSM2202A Experimental Molecular and Cell Biology ST233 Probability and Statistics 20 Level-3000 CS3230 LSM3231 Either CS3225 or MA3259 Design & Analysis of Algorithms Protein Structure and Function Combinatorial Methods in Bioinformatics Mathematical Methods in Genomics Minimum of 8 MCs from the following list 21 : CS Computer Networks and Protocols Either: CS3225 Combinatorial Methods in Bioinformatics or MA3259 Mathematical Methods in Genomics CS320 Human-Computer Interaction CS321 Computer Graphics CS323 Introduction to Artificial Intelligence CS32 Machine Learning Level-000 CS220 Knowledge Discovery Methods in Bioinformatics LSM21 Functional Genomics Either: CP101 B. Comp. Dissertation 23 Complete 8 MCs by taking modules from CB Elective Course List or Complete 20 MCs by taking modules from CB Elective Course List Computational Biology (CB) Elective Course List Students should choose ST2131 (Probability) and ST2132 (Mathematical Statistics) in place of ST233 (Probability and Statistics) if they plan to pursue higher level statistics modules. With the special permission from the UROP coordinator and Computational Biology Programme Coordinator, CP3208/CP3209 Undergraduate Research in Computing I/II can be used to replace two of the Level-3000 Computational Biology electives if the project is on Computational Biology. Students who take CS3103 (Computer Networks and Protocols) must also take CS3103L (Computer Networks Laboratory). The theme of the project must be on Computational Biology. The Computational Biology (CB) Elective Course List may be revised from time to time to include new Computational Biology electives that are introduced and approved by the Department of Computer Science. 1

15 CS221 CS231 CS235 CS237 CS23 CS2 CS28 CS5228 CS523 CS5238 CS530 Database Design Parallel and Distributed Algorithms Computational Geometry Systems Modelling and Simulation Computer Vision and Pattern Recognition Knowledge-Based Systems Natural Language Processing Knowledge Discovery and Data Mining Combinatorial & Graph Algorithms Advanced Combinatorial Methods in Bioinformatics Uncertainty Modelling in Artificial Intelligence (ii) UNIVERSITY LEVEL REQUIREMENTS As specified in Section (iii) UNRESTRICTED ELECTIVES As specified in Section Students are required to read CM1121 Basic Organic Chemistry, and PC132 Physics IIE towards partially satisfying Unrestricted Electives. Students are encouraged to take up CP3880 Advanced Technology Attachment Programme (ATAP), and they should seek approval from the Computational Biology coordinator and ATAP coordinator. Table 2: Summary of degree requirements for B.Comp. (Computational Biology) Modules MCs Subtotals UNIVERSITY LEVEL REQUIREMENTS 20 PROGRAMME REQUIREMENTS 120 Common Essentials. CS1010 CS1020 CS2010 Programming Methodology 25 Data Structures and Algorithms I 26 Data Structures and Algorithms II 26 CS2100 Computer Organisation CS2102 Database Systems CS2103T Software Engineering CS2105 Major Requirements Introduction to Computer Networks Level-1000 CS and LS major requirements CS1231 Discrete Structures LSM1101 Biochemistry and Biomolecules LSM1102 Molecular Genetics MA1101R Linear Algebra I MA1102R Calculus Level-2000 CS and LS major requirements 15

16 Modules MCs Subtotals CS2220 CS2101 LSM2101 LSM2102 LSM2103 LSM2201A LSM2202A Introduction to Computational Biology Effective Communication for Computing Professionals Metabolism and Regulation or Molecular Biology or Cell Biology Experimental Biochemistry or Experimental Molecular and Cell Biology ST233 Probability and Statistics 27 Level-3000 CS and LS major requirements CS3230 CS3225 MA3259 LSM3231 Design & Analysis of Algorithms Combinatorial Methods in Bioinformatics or Mathematical Methods in Genomics Protein Structure and Function Level-3000 Electives 28 ; Choose any three from the following: CS3103 Computer Networks and Protocols 29 CS3225 MA3259 CS320 Combinatorial Methods in Bioinformatics or Mathematical Methods in Genomics Human-Computer Interaction CS321 Computer Graphics. CS323 Introduction to Artificial Intelligence CS32 Machine Learning. Level-000 CS and LS major requirements CS220 Knowledge Discovery Methods in Bioinformatics LSM21 Functional Genomics Either CP101 B. Comp. Dissertation 30 Sufficient number of modules from CB Elective Course List 31 or

17 Modules MCs Subtotals Sufficient number of modules from CB Elective Course List UNRESTRICTED ELECTIVES Grand Total CS1010 ( MCs) can be replaced by CS1101S Programming Methodology (5 MCs). CS1020 and CS2010 can be replaced by CS2020 Data Structures and Algorithms Accelerated. The remaining 2 MCs will be added to the Unrestricted Electives Requirements. Students should choose ST2131 (Probability) and ST2132 (Mathematical Statistics) in place of ST233 (Probability and Statistics) if they plan to pursue higher level statistics modules. With the special permission from the UROP coordinator and Computational Biology Programme Coordinator, CP3208/CP3209 Undergraduate Research in Computing I/II can be used to replace two of the Level-3000 Computational Biology electives if the project is on Computational Biology. Students who take CS3103 (Computer Networks and Protocols) must also take CS3103L (Computer Networks Laboratory). The theme of the project must be on Computational Biology. The Computational Biology (CB) Elective Course List may be revised from time to time to include new Computational Biology electives that are introduced and approved by the Department of Computer Science. Students are required to read CM1121 Basic Organic Chemistry, and PC132 Physics IIE towards Unrestricted Electives. Students are encouraged to take up CP3880 Advanced Technology Attachment Programme (ATAP), and special permission must be granted by the Computational Biology coordinator and ATAP coordinator. Concurrent Programme with Brown University on Computational Biology This is a fast-track programme that allows deserving students to obtain the Bachelor of Computing (Computational Biology) from NUS and a Scientiae Magister in Computational Biology in Computer Science from Brown University within five years. Please refer to Section R7 of Part II of this bulletin for details Bachelor of Computing in Computer Science Overview The Bachelor of Computing in Computer Science [B.Comp. (CS)] programme aims to nurture students who aspire to engage in a computing career in various industry sectors. It is most suitable for students who love hands-on work and love to apply computing technologies to solve general real-world problems. This programme will equip graduates with a strong foundation to take on the world through problem-solving by computing: 1. Individual competence in applying Computer Science knowledge and skills to solve application problems in a manner that upholds the ethical and social responsibility of an IT professional. 2. Individual competence in analysing an application problem, understanding user s requirements, formulating the problem in terms computational requirements, conceiving novel solution ideas, designing appropriate solutions that meet the requirements, implementing the solution, evaluating the effectiveness of the solution. 3. Ability to contribute in a multi-disciplinary team to bring a range of technologies together to develop computer systems and solutions of multi-disciplinary nature.. Ability to contribute, depending on their aspirations, to the local IT industry in the development of computer-based systems and solutions, to the local and global IT industry in applied R&D that requires strong Computer Science foundation and deep knowledge and skills in selected areas, or to research in local and global research institutes and universities. 5. Ability to engage in continuous professional development. The programme has gained the recognition of ABET Inc., the world-respected US-based accreditation agency. The agency certified that the programme is substantially equivalent to accredited programmes in the United States, which is the standard status that the agency offers to universities outside the United States. Students pursuing a degree in Bachelor of Computing (Honours) in Computer Science will also pick up knowledge in science and mathematics. The programme inculcates in students an awareness of information technology application across multiple disciplines. It also provides the opportunity for students to receive interdisciplinary education. Graduates with the Bachelor of Computing (Honours) in Computer Science degree can position themselves in a large number of exciting fields of work, including project management, knowledge engineering, software architecture, web design, digital media, and security consultancy. 17

18 Degree Requirements The Bachelor of Computing (Computer Science) programme requires at least 160 MCs. (i) PROGRAMME REQUIREMENTS (Total of 120 MCs) Computer Science Foundation CS1010 Programming Methodology 33 CS1020 Data Structures and Algorithms I 3 CS1231 Discrete Structures CS2010 Data Structures and Algorithms II 3 CS2100 Computer Organisation CS2103T Software Engineering 35 CS2105 Introduction to Computer Networks CS2106 Introduction to Operating Systems CS3230 Design and Analysis of Algorithms Computer Science Breadth & Depth Complete 2 MCs of CS modules by satisfying the following conditions: a. Satisfy at least one CS Focus Area for B.Comp. (CS) by completing 3 modules in the Area Primaries, with at least one module at level-000 or above. Computer Science Foundation modules that appear in Area Primaries can be counted as one of the 3 modules towards satisfying a Focus Area. b. At least 12 MCs are at level-000 or above. Complete 8 MCs of Computer Systems Team Project modules from the following list, or modules approved by the Department of Computer Science: CS3201 Software Engineering Project I and CS3202 Software Engineering Project II, or CS3281 Thematic Systems Project I and CS3282 Thematic Systems Project II Either CP101 B.Comp. Dissertation or Complete 12 MCs by taking CS modules at level-000 or above, or modules approved by the Department of Computer Science. IT Professionalism IS1103 Computing and Society CS2101 Effective Communication for Computing Professionals Mathematics & Sciences MA1301 Introductory Mathematics 36 MA1521 Calculus for Computing 37 MA1101R Linear Algebra I ST233 Probability and Statistics 38 PC1222 Fundamentals of Physics II Science Module 1 39 Science Module 2 Science Module CS1020 ( MCs) and CS2010 ( MCs) can be replaced by CS2020 Data Structures and Algorithms Accelerated (6 MCs). The remaining 2 MCs will be added to the Unrestricted Electives Requirements. Students taking CS2103T Software Engineering must take CS2101 Effective Communication for Computing Professionals in the same semester. MA1301 is waived for students with A-level Mathematics. The MCs gained from the waiver should be used to read a letter-graded module. Students pursuing a double degree in Computer Science and Mathematics/Applied Mathematics are recommended to replace MA1521 Calculus for Computing by MA1102R Calculus. Students pursuing a double degree in Computer Science and Mathematics/Applied Mathematics will take ST2131 Probability and ST2132 Mathematical Statistics in place of ST233 Probability and Statistics. Students interested in Physics are recommended to read PC1221 Fundamentals of Physics I. A Science module can be CM1101 (Principles of Modern Chemistry) or CM117 (Fundamentals of Chemistry), LSM1301 (General Biology), LSM1302 (Genes and Society), PC113 (Physics III), PC11 (Physics IV), PC1221 (Fundamentals of Physics I), PC1222 (Fundamentals of Physics II), PC132 (Physics IIE) or courses approved by the Department of Computer Science. 18

19 (ii) UNIVERSITY LEVEL REQUIREMENTS (20 MCs) (iii) UNRESTRICTED ELECTIVES (20 MCs) Computer Science Focus Areas for B.Comp. (CS) CS modules are organised into Focus Areas of coherent modules according to technical areas of study. A CS Focus Area is satisfied by completing 3 modules from the Area Primaries, with at least one module at 000-level or above. CS Foundation Modules (CFM) that appear in the Area Primaries can be counted as one of the 3 modules towards satisfying a Focus Area. In this case, a student has to read just two other modules in the Area Primaries to satisfy the Focus Area. Elective modules are grouped into the Focus Areas as a guide for indicating their related areas of study. Algorithms & Theory Artificial Intelligence Computer Networks Database Systems Information Retrieval Parallel Computing Programming Languages Software Engineering Systems Security Visual Computing Modules classified in each focus area can be found at: Enrichment Students are encouraged to read the following enrichment modules: CS3882 Breakthrough Ideas for Digital Markets CS880 Digital Entrepreneurship Specialisation in Information Security To satisfy Information Security in Computer Science, students must: a. Complete 12 MCs from the CS Undergraduate Focus Area of System Security. b. Complete CP101 B.Comp. Dissertation (12 MCs) which must be an independent project on a topic related to the technical aspects of information security. Students in this Specialisation are recommended to complete the 8 MCs of Computer Systems Team Project modules on a topic related to the technical aspects of information security. University Scholars Programme (Computer Science) Students in the University Scholars Programme who choose the Bachelor of Computing (Computer Science) major will follow the Computer Science programme, but with the following variations: 1. The following modules will be replaced by appropriate First-Tier Scholars Modules: a. University Level Requirements (20 MCs) b. CS2101 Effective Communication for Computing Professionals ( MCs) c. Two Science Modules (8 MCs) 2. They will read UROP modules CP3208 and CP3209 in place of the two Computer Systems Team Project modules (CS3201/CS3202 or CS3281/CS3282). CP3208 and CP3209 are independent study modules (ISMs) and they will also be counted as two of the four Advanced Scholars Modules (8 MCs). 19

20 Table 3: Summary of degree requirements for Bachelor of Computing (Computer Science) Modules MCs Subtotals UNIVERSITY LEVEL REQUIREMENTS 20 PROGRAMME REQUIREMENTS 120 Computer Science Foundation 36 CS1010 Programming Methodology CS1020 CS2010 Data Structures and Algorithms I Data Structures and Algorithms II CS1231 Discrete Structures CS2100 Computer Organisation CS2103T Software Engineering CS2105 CS2106 CS3230 Introduction to Computer Networks Introduction to Operating Systems Design and Analysis of Algorithms Computer Science Breadth and Depth Complete 2 MCs of CS modules by satisfying the following conditions: a. Satisfy at least one CS Focus Area for B.Comp.(CS) by completing 3 modules in the Area Primaries, with at least one module at level-000 or above. Computer Science Foundation modules that appear in Area Primaries can be counted as one of the 3 modules towards satisfying a Focus Area. b. At least 12 MCs are at level-000 or above. 2 Complete 8 MCs of Computer Systems Team Project modules from the following list, or modules approved by the Department of Computer Science: CS3201 Software Engineering Project I and CS3202 Software Engineering Project II, or CS3281 Thematic Systems Project I and CS3282 Thematic Systems Project II Either: CP101 B. Comp. Dissertation, or 3 CS modules at level-000 or above IT Professionalism 8 IS1103 Computing and Society CS2101 Effective Communication for Computing Professionals

21 Modules MCs Subtotals Mathematics and Sciences 32 MA1301 Introductory Mathematics MA1521 Calculus for Computing 1 MA1101R Linear Algebra I ST233 Probability and Statistics 2 PC1222 Fundamentals of Physics II Science Module 1 3 Science Module 2 Science Module 3 UNRESTRICTED ELECTIVES 20 Grand Total MA1301 is waived for students with A-level Mathematics. The MCs gained from the waiver should be used to read a letter-graded module. Students pursuing a double degree in Computer Science and Mathematics/Applied Mathematics are recommended to replace MA1521 Calculus for Computing by MA1102R Calculus. Students pursuing a double degree in Computer Science and Mathematics/Applied Mathematics will take ST2131 Probability and ST2132 Mathematical Statistics in place of ST233 Probability and Statistics. Students interested in Physics are recommended to read PC1221 Fundamentals of Physics I. A Science module can be CM1101 (Principles of Modern Chemistry) or CM117 (Fundamentals of Chemistry), LSM1301 (General Biology), LSM1302 (Genes and Society), PC113 (Physics III), PC11 (Physics IV), PC1221 (Fundamentals of Physics I), PC1222 (Fundamentals of Physics II), PC132 (Physics IIE) or courses approved by the Department of Computer Science Bachelor of Computing in Computer Science von Neumann Programme Overview The von Neumann Programme for Bachelor of Computing (Computer Science) programme, [vnp] is one of the two special programmes in Computer Science. vnp aims to nurture students who aspire to engage in industry careers emphasising the design of complex computing systems. It is most suitable for students who love to solve complex real-world problems and develop complex computer-based systems for real-world applications. Students pursuing Bachelor of Computing (Computer Science) degree will be eligible for admission into vnp at the end of their first or second semester of studies based on their CAP and interview. Students in this programme will be assigned CS professors and industry partners as their mentors, who will help them to blend academic knowledge and industrial experience into their studies. Degree Requirements The von Neumann Programme requires at least 160 MCs. Students in the programme must maintain a minimum CAP of.00 in every semester of their studies. (i) PROGRAMME REQUIREMENTS (Total of 120 MCs) Computer Science Foundation CS1010 Programming Methodology CS1020 Data Structures and Algorithms I 5 CS1231 Discrete Structures CS2010 Data Structures and Algorithms II 5 CS2100 Computer Organisation CS2103T Software Engineering 6 CS2105 Introduction to Computer Networks CS2106 Introduction to Operating Systems CS3230 Design and Analysis of Algorithms 5 6 CS1010 ( MCs) can be replaced by CS1101S Programming Methodology (5 MCs). CS1020 and CS2010 can be replaced by CS2020 Data Structures and Algorithms Accelerated. The remaining 2 MCs will be added to the Unrestricted Electives Requirements. Students taking CS2103T Software Engineering must take CS2101 Effective Communication for Computing Professionals in the same semester. 21