MEng, BSc Computer Science with Artificial Intelligence

Size: px
Start display at page:

Download "MEng, BSc Computer Science with Artificial Intelligence"

Transcription

1 School of Computing FACULTY OF ENGINEERING MEng, BSc Computer Science with Artificial Intelligence Year 1 COMP1212 Computer Processor Effective programming depends on understanding not only how to give a machine instructions (the software), but also on how the machine carries out those instructions (the hardware). Modern hardware is built up in layers upon simple structures, and this module will introduce the student to how a computer chip actually computes, how data is represented in memory, and how simple electronic circuits are built up to provide complex logic. COMP1211 Computer Architecture This module introduces students to the structure and components of modern computer architectures, including memory, machine level languages, the fetch execution cycle, data storage, and input/output. Multi-core architectures, parallelism and scalability in modern systems. COMP1511 Introduction to Discrete Mathematics This module covers combinatorics essential in determining the complexity of algorithms, general techniques for solving problems, probability and an introduction to graphs that are a powerful tool for modelling problems such and the structure of the World Wide Web, or to determine a shortest path between two cities. COMP1711 Procedural Programming Learn how to develop a solution to a problem and design and implement its solution as a procedural program. Learn how to design robust, debug to identify errors and test to ensure design requirements are met. COMP1911 Professional Computing Introduces the tools and processes required by a computing professional to do their job properly; including software engineering tools; team working skills, project management techniques and social and legal issues that must be considered. COMP1121 Databases This module covers the principles of the design and implementation of database management systems, including the theory of relational databases and E-R modeling; and the use of SQL to create and manipulate data in a database. COMP1421 COMP1721 Fundamental Mathematical Concepts Object-oriented Programming This module focuses on some mathematical concepts and techniques that are fundamental to computing. We study propositions and how they combine using logical operators and quantifiers (concepts which underpin automated reasoning and system specification). This leads to a study of rules of inference and different proof techniques used for verification of program correctness, system security and complexity analysis. These concepts are then applied in the study of sets, functions, relations (the basis of relational databases), vectors and matrices (fundamental for applications in mathematics, computer science, physics and engineering. Implement using classes and Object Oriented concepts such as inheritance, encapsulation and abstraction. Contrast OOP to procedural programming techniques. Understand and implement common abstract data types such as stacks and queues. COMP1921 Programming Project Develop experience with professional programming tools and techniques, such as version control, unit-testing, secure and defensive coding. Analyse existing for consistency with coding standards and documentation. Construct to a given specification and demonstrate how it meets the specification. COMP1011 Programming For The Web Recognise the need for programming as a part of modern web applications. This

2 COMP1021 Introduction to Web Technologies module provides an introduction to programming, using languages such as Python and JavaScript that are particularly relevant to web application development and other tasks involving the web. In this module, you will learn how to use HTML, CSS and JavaScript to develop the content, presentation and interactive features of web sites and web applications - i.e., all those parts that run within a web browser. You will learn how to test and debug web pages using a web browser and how to ensure that your pages conform to accessibility standards and relevant legislation. Year 2 COMP2211 Operating Systems The role of the operating system. Modern operating system architecture. Process management, memory management, file systems and I/O. Example systems, from mobile to HPC platforms. COMP1321 Formal Languages and Finite Automata Develop models of computation, the theory of automata and grammars and the basics of computability. Covers Turing Machines, the Church-Turing thesis and undecidable problems. COMP2611 Artificial Intelligence Artificial Intelligence is a rapidly evolving field. This module provides an introduction to a broad range of topics in Artificial Intelligence. You will learn how to design and implement simple intelligent agents; the principles of knowledge representation and inference, machine learning and explore application in areas such as text mining, image analysis and bio-inspired computing COMP2931 Software Engineering Understand the software life-cycle. Select a development process appropriate for a given task and context. Use appropriate tools to manage the development process. Work effectively as team to capture the requirements, produce a design and complete the implementation for a given task COMP2221 Networks Network communication protocols and n-tier architectures. Standard protocols for common networked tasks. The client-server model. Implementation of scalable networked applications. COMP2811 User Interfaces The role of usability and user experience in application design. The foundations of designing interactive systems. Implement graphical applications using a user interface toolkit. Design considerations for effective human-computer interaction. Develop low-fidelity prototypes for human-computer interfaces COMP2711 COMP2721 Algorithms and Data Structures I Algorithms and Data Structures II This module focuses on key algorithms and data structures,that form the toolkit of a modern computer specialist. Practicing with classical algorithms and data structures students will learn how to combine them in order to produce efficient algorithms for solving problems There may exist several algorithms for solving the same problem, and it is important to produce the one which is efficient in terms of the computation time and space requirements. In this module you will start to develop skills in designing algorithms Our primary goal is to identify the most efficient solutions among those available and to provide a formal justification of that choice. COMP2011 COMP2021 Web Application Social and Mobile Web This module focuses on those parts of a web application that run remotely on a web server rather than locally within a web browser. You will learn about how databases are a key component of many web applications and you will learn how to use a web application development framework to create a database-driven application such as an online store. In this module, you will learn how to design, implement and deploy web applications that work effectively on smartphones and tablets. You will also learn how to develop applications that integrate with and use the services offered by popular social networks.

3 COMP2421 Numerical Computation Accuracy of floating-point computation. Standard numerical algorithms for linear equation systems, nonlinear equations, ordinary differential equations and data interpolation. The design of robust and efficient implementations in. COMP2121 Data Mining This module covers the principles of the design and implementation of database management systems, including the theory of relational databases and E-R modeling; and the use of SQL to create and manipulate data in a database. Year 3 COMP3931 Individual Project The Individual Project provides the opportunity for you work on a significant research and/or development project related to your degree programme. You will work closely with a supervisor to design, implement and evaluate a solution to your chosen project and present the work both as a dissertation and short presentation to peers and staff. COMP3221 Parallel Computation Describe parallel computing architectures for distributed and shared-memory programming. Understand the efficiency and scalability of parallel algorithms. Design parallel algorithms for a range of tasks. Implement and benchmark parallel algorithms on a range of architectures. COMP3211 Distributed Systems This module presents the main characteristics of distributed systems and looks at some of the challenges that are faced by designers and implementers of such systems. It investigates how sophisticated multi-tier architectures can be supported, and examines how this is achieved using distributed object technology, Web services and cloud computing. COMP3222 Mobile Application Understand the constraints of developing for mobile devices from hardware, interface and networking. Design and structure the user interface and underlying software structure for a mobile application. Integrate input from hardware sensors and networked data and services. Implement mobile applications on a given platform. COMP3121 Data Science The aim of the module is for students to develop a practical understanding of analysis techniques that may be used to gain insights from complex data. The module covers the theoretical aspects of a variety of approaches, with an emphasis on statistical methods, and practical application using established tools. COMP3811 Computer Graphics This module covers the core concepts behind 3D computer graphics, including rasterisation, raytracing, hardware-accelerated projective rendering, geometric modelling of curves and surfaces, surface texturing, hierarchical animation and introductory shader-based rendering. COMP3911 Secure Computing Security is an increasing problem for all computer systems. Users, administrators and developers all need to be aware of risks and the need to develop systems that are resistant to known attacks. In this module you will learn about threats to the security of a software system, design and implement software that is resistant to well-known attacks and learn how security incidents can be detected and analysed. COMP3223 Cryptography This module provides a thorough introduction to cryptography and its applications. We cover the mathematical foundations of cryptography and discuss modern cryptosystems in detail. This includes both symmetric and public-key systems like AES and RSA and their usage and applications in digital signatures and complex cryptographic protocols like digital currency and electronic voting. COMP3011 Web Services and Web Data In this module, you will learn how search engines and other key web services

4 COMP3940 Graph Algorithms and Complexity Theory work. You will learn how cloud computing provides such services and how to build applications that make use of these services. You will also learn how to incorporate open and linked data into web applications. Many problems arising in diverse areas such as transportation, telecommunication, molecular biology, industrial engineering, etc. can be modeled by graphs. These problems then reduce to optimizing some graph parameter. Since the objects we are dealing with are finite, we can envision an algorithm that would list all the possibilities and go through them to find the desired optima. COMP3910 Combinatorial Optimisation Understand how models can be formulated as combinatorial optimisation problems. Solve optimisation problems with linear programming techniques such as the simplex method and branch-and-bound. Appreciate the role of problem-specific heuristics in improving solution algorithms. COMP3631 COMP3771 Robotics User Adaptive Intelligent Systems You will gain experience and understanding of techniques for user modelling and their application areas to build user adaptive intelligent systems. You will apply human-computer interaction methodology to identify user needs, draw requirements, design, and evaluate user-adaptive systems and implement one or more recommender system techniques in a practical application. Year 4 (MEng) COMP5530M Group Project The Group Project provides an opportunity for you to work on a major computing project as part of a team. The project will further develop your team working/ project management skills and your technical knowledge and skills. COMP5221M Cloud Computing In this mobile you will learn about the key techniques and technologies that underpin cloud computing and look at the new directions that Cloud Computing is taking. You will have the opportunity to design the framework of Cloud architecture and will gain experience of using a range of middleware tools to implement a cloud application. COMP5911M Advance Software Engineering This module covers different approaches to the design and development of large software systems. You will study different design techniques and technologies that can be used to address issues of efficiency, modularity, security and maintainability. COMP5111M Big Data Systems The aim of the module is for students to develop a practical understanding of the methods, techniques and architectures required to build big data systems, so that knowledge may be extracted from large heterogeneous data sets COMP5930M Scientific Computation Understand the range of problems that can be formulated as nonlinear equation systems. Consider standard algorithms for these problems and the efficiency of their implementation. Demonstrate how state-of-the-art algorithms deliver gains in efficiency and allow the solution of large, sparse systems of nonlinear equations. COMP5940M Graph Theory: Structure and Algorithms This module introduces students to the main techniques and results from structural graph theory and considers their algorithmic applications. It covers classical results and more recent ones, and introduces current research techniques. COMP5880M Scientific Visualisation This module therefore covers both visual representation of data, but also systematic development of applications supporting scientific workflow using existing toolkits and libraries both at the small and the large scale. Material covered will include contours, isosurfaces, direct volume rendering, streamlines and other vector visualisations and topological analysis and visualisation, pipelined models of visualisation, modern visualisation toolkits and domain-based visualisation development.

5 COMP5860M Semantic Technologies and Applications The module covers both the architecture and key technologies of the Semantic Web. You will learn the principles of ontology engineering and use common Semantic Web tools to apply these technologies to a number of applications. COMP5621M COMP5622M Bio-computation Text analytics and natural language processing COMP5870M Image Analysis This module studies a selection of these techniques in depth. You will learn about the problems and solutions in particular application areas; how to evaluate the performance of the methods and to apply the theoretical knowledge gained to design image analysis systems for solving specific problems. COMP5830M Machine Learning and Knowledge Representation This module covers the fundamental principles of knowledge representation and machine learning. You will learn about some of key algorithms used in Automated Reasoning and Machine Learning and use software tools to compute inferences by Automated Reasoning and to build models from data using Machine Learning algorithms. This is an indicative list and actual content may vary as we regularly review the content or our courses in light of new experienc es and developments in the field.

MEng, BSc Applied Computer Science

MEng, BSc Applied Computer Science School of Computing FACULTY OF ENGINEERING MEng, BSc Applied Computer Science Year 1 COMP1212 Computer Processor Effective programming depends on understanding not only how to give a machine instructions

More information

One LAR Course Credits: 3. Page 4

One LAR Course Credits: 3. Page 4 Course Descriptions Year 1 30 credits Course Title: Calculus I Course Code: COS 101 This course introduces higher mathematics by examining the fundamental principles of calculus-- functions, graphs, limits,

More information

CS Master Level Courses and Areas COURSE DESCRIPTIONS. CSCI 521 Real-Time Systems. CSCI 522 High Performance Computing

CS Master Level Courses and Areas COURSE DESCRIPTIONS. CSCI 521 Real-Time Systems. CSCI 522 High Performance Computing CS Master Level Courses and Areas The graduate courses offered may change over time, in response to new developments in computer science and the interests of faculty and students; the list of graduate

More information

Doctor of Philosophy in Computer Science

Doctor of Philosophy in Computer Science Doctor of Philosophy in Computer Science Background/Rationale The program aims to develop computer scientists who are armed with methods, tools and techniques from both theoretical and systems aspects

More information

Master Degree Program in Computer Science (CS)

Master Degree Program in Computer Science (CS) Master Degree Program in Computer Science (CS) Students holding Bachelor s degree in Computer Science are accepted as graduate students, after meeting the general requirements stated below. Applicants

More information

Master of Science in Computer Science

Master of Science in Computer Science Master of Science in Computer Science Background/Rationale The MSCS program aims to provide both breadth and depth of knowledge in the concepts and techniques related to the theory, design, implementation,

More information

School of Computer Science

School of Computer Science School of Computer Science Computer Science - Honours Level - 2014/15 October 2014 General degree students wishing to enter 3000- level modules and non- graduating students wishing to enter 3000- level

More information

Computer Science (COMP)

Computer Science (COMP) Prairie View A & M University 1 Computer Science (COMP) Courses COMP 1003 Digital Communication: 3 semester hours. Efficient communication in the digital world, including multi-media editing, web page/site

More information

M.S. Computer Science Program

M.S. Computer Science Program M.S. Computer Science Program Pre-requisite Courses The following courses may be challenged by sitting for the placement examination. CSC 500: Discrete Structures (3 credits) Mathematics needed for Computer

More information

Division of Mathematical Sciences

Division of Mathematical Sciences Division of Mathematical Sciences Chair: Mohammad Ladan, Ph.D. The Division of Mathematical Sciences at Haigazian University includes Computer Science and Mathematics. The Bachelor of Science (B.S.) degree

More information

Masters in Human Computer Interaction

Masters in Human Computer Interaction Masters in Human Computer Interaction Programme Requirements Taught Element, and PG Diploma in Human Computer Interaction: 120 credits: IS5101 CS5001 CS5040 CS5041 CS5042 or CS5044 up to 30 credits from

More information

Masters in Artificial Intelligence

Masters in Artificial Intelligence Masters in Artificial Intelligence Programme Requirements Taught Element, and PG Diploma in Artificial Intelligence: 120 credits: IS5101 CS5001 CS5010 CS5011 CS4402 or CS5012 in total, up to 30 credits

More information

Masters in Networks and Distributed Systems

Masters in Networks and Distributed Systems Masters in Networks and Distributed Systems Programme Requirements Taught Element, and PG Diploma in Networks and Distributed Systems: 120 credits: IS5101 CS5001 CS5021 CS4103 or CS5023 in total, up to

More information

School of Computer Science

School of Computer Science School of Computer Science Computer Science - Honours Level - 2015/6 - August 2015 General degree students wishing to enter 3000- level modules and non- graduating students wishing to enter 3000- level

More information

Department of Computer Science

Department of Computer Science 113 Department of Computer Science Chairperson: Nasri, Ahmad H. Professor: Nasri, Ahmad H. Associate Professors: Attie, Paul C.; Karam, Marcel R.; Turkiyyah, George M. Assistant Professors: Abu Salem,

More information

Masters in Advanced Computer Science

Masters in Advanced Computer Science Masters in Advanced Computer Science Programme Requirements Taught Element, and PG Diploma in Advanced Computer Science: 120 credits: IS5101 CS5001 up to 30 credits from CS4100 - CS4450, subject to appropriate

More information

Eastern Washington University Department of Computer Science. Questionnaire for Prospective Masters in Computer Science Students

Eastern Washington University Department of Computer Science. Questionnaire for Prospective Masters in Computer Science Students Eastern Washington University Department of Computer Science Questionnaire for Prospective Masters in Computer Science Students I. Personal Information Name: Last First M.I. Mailing Address: Permanent

More information

FACULTY OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY AUTUMN 2016 BACHELOR COURSES

FACULTY OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY AUTUMN 2016 BACHELOR COURSES FACULTY OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Please note! This is a preliminary list of courses for the study year 2016/2017. Changes may occur! AUTUMN 2016 BACHELOR COURSES DIP217 Applied Software

More information

COURSE TITLE COURSE DESCRIPTION

COURSE TITLE COURSE DESCRIPTION COURSE TITLE COURSE DESCRIPTION CS-00X COMPUTING EXIT INTERVIEW All graduating students are required to meet with their department chairperson/program director to finalize requirements for degree completion.

More information

Professional Organization Checklist for the Computer Science Curriculum Updates. Association of Computing Machinery Computing Curricula 2008

Professional Organization Checklist for the Computer Science Curriculum Updates. Association of Computing Machinery Computing Curricula 2008 Professional Organization Checklist for the Computer Science Curriculum Updates Association of Computing Machinery Computing Curricula 2008 The curriculum guidelines can be found in Appendix C of the report

More information

Masters in Computing and Information Technology

Masters in Computing and Information Technology Masters in Computing and Information Technology Programme Requirements Taught Element, and PG Diploma in Computing and Information Technology: 120 credits: IS5101 CS5001 or CS5002 CS5003 up to 30 credits

More information

Datavetenskapligt Program (kandidat) Computer Science Programme (master)

Datavetenskapligt Program (kandidat) Computer Science Programme (master) Datavetenskapligt Program (kandidat) Computer Science Programme (master) Wolfgang Ahrendt Director Datavetenskap (BSc), Computer Science (MSc) D&IT Göteborg University, 30/01/2009 Part I D&IT: Computer

More information

INFORMATION TECHNOLOGY PROGRAM

INFORMATION TECHNOLOGY PROGRAM INFORMATION TECHNOLOGY PROGRAM The School of Information Technology offers a two-year bachelor degree program in Information Technology for students having acquired an advanced vocational certificate.

More information

Stage III courses COMPSCI 314

Stage III courses COMPSCI 314 Stage III courses To major in Computer Science, you have to take four Stage III COMPSCI courses, plus one other Stage III course chosen from the BSc Schedule. This may be another Stage III COMPSCI course.

More information

Course Outcomes. 2. Able to write, compile and debug programs in

Course Outcomes. 2. Able to write, compile and debug programs in Course Outcomes Course Code Course Name Course Outcomes CS-201/101 CS-191/291 CS-301 Computer System Programming Computer Programming Lab Data Structures & Algorithms 1. Able to have fundamental knowledge

More information

Bachelor of Games and Virtual Worlds (Programming) Subject and Course Summaries

Bachelor of Games and Virtual Worlds (Programming) Subject and Course Summaries First Semester Development 1A On completion of this subject students will be able to apply basic programming and problem solving skills in a 3 rd generation object-oriented programming language (such as

More information

Bachelor of Science in Information Technology. Course Descriptions

Bachelor of Science in Information Technology. Course Descriptions Bachelor of Science in Information Technology Course Descriptions Year 1 Course Title: Calculus I Course Code: MATH 101 Pre- Requisite(s): This course introduces higher mathematics by examining the fundamental

More information

QF01/0407-1.0 الخطة الدراسية كلية العلوم وتكنولوجيا المعلومات- برنامج الماجستير/ الوصف المختصر

QF01/0407-1.0 الخطة الدراسية كلية العلوم وتكنولوجيا المعلومات- برنامج الماجستير/ الوصف المختصر Algorithms analysis and design(0102721). The course introduces students to a variety of computer problems and methods of their solutions. It enables students to assess the complexity of problems and algorithms.

More information

Computer/Information Science Course Descriptions

Computer/Information Science Course Descriptions Computer/Information Science Course Descriptions COMS 1003: Introduction to Computer Based Systems Provides students with both computer concepts and hands-on applications. Although little or no prior computer

More information

Page 1 of 5. (Modules, Subjects) SENG DSYS PSYS KMS ADB INS IAT

Page 1 of 5. (Modules, Subjects) SENG DSYS PSYS KMS ADB INS IAT Page 1 of 5 A. Advanced Mathematics for CS A1. Line and surface integrals 2 2 A2. Scalar and vector potentials 2 2 A3. Orthogonal curvilinear coordinates 2 2 A4. Partial differential equations 2 2 4 A5.

More information

Information and Communications Technology Courses at a Glance

Information and Communications Technology Courses at a Glance Information and Communications Technology Courses at a Glance Level 1 Courses ICT121 Introduction to Computer Systems Architecture This is an introductory course on the architecture of modern computer

More information

School of Computer Science

School of Computer Science Computer Science Honours Level 2013/14 August 2013 School of Computer Science Computer Science (CS) Modules CS3051 Software Engineering SCOTCAT Credits: 15 SCQF Level 9 Semester: 1 This module gives a

More information

Course Syllabus For Operations Management. Management Information Systems

Course Syllabus For Operations Management. Management Information Systems For Operations Management and Management Information Systems Department School Year First Year First Year First Year Second year Second year Second year Third year Third year Third year Third year Third

More information

Masters in Information Technology

Masters in Information Technology Computer - Information Technology MSc & MPhil - 2015/6 - July 2015 Masters in Information Technology Programme Requirements Taught Element, and PG Diploma in Information Technology: 120 credits: IS5101

More information

Advisor Counsel. Computer basics and Programming. Introduction to Engineering Design. C Programming Project. Digital Engineering

Advisor Counsel. Computer basics and Programming. Introduction to Engineering Design. C Programming Project. Digital Engineering Course Description ( 전체개설교과목개요 ) Advisor Counsel Yr. : Sem. : Course Code: CD0001 Advisor in the department which programs engineering education guides certificate program educational objectives, learning

More information

Assessment Plan for CS and CIS Degree Programs Computer Science Dept. Texas A&M University - Commerce

Assessment Plan for CS and CIS Degree Programs Computer Science Dept. Texas A&M University - Commerce Assessment Plan for CS and CIS Degree Programs Computer Science Dept. Texas A&M University - Commerce Program Objective #1 (PO1):Students will be able to demonstrate a broad knowledge of Computer Science

More information

Master of Science in Software Engineering

Master of Science in Software Engineering Master of Science in Software Engineering The MSc in Software Engineering provides a thorough grounding in how to apply rigorous engineering principles to deliver elegant, effective software solutions

More information

COMPUTER SCIENCE, BACHELOR OF SCIENCE (B.S.)

COMPUTER SCIENCE, BACHELOR OF SCIENCE (B.S.) VCU 1 COMPUTER SCIENCE, BACHELOR OF SCIENCE (B.S.) The Bachelor of Science in Computer Science is built on a rigorous, highly concentrated, accredited curriculum of computer science courses. The program

More information

MATHEMATICS AND COMPUTER SCIENCE

MATHEMATICS AND COMPUTER SCIENCE Hendrix Catalog 2005-2006 249 MATHEMATICS AND COMPUTER SCIENCE Professors Collins and D. Sutherland Associate Professors Barel and Campbell (chair) Assistant Professors Burch and Ferrer Visiting Assistant

More information

Computer Science MS Course Descriptions

Computer Science MS Course Descriptions Computer Science MS Course Descriptions CSc I0400: Operating Systems Underlying theoretical structure of operating systems; input-output and storage systems, data management and processing; assembly and

More information

James B. Fenwick, Jr., Program Director and Associate Professor Ph.D., The University of Delaware FenwickJB@appstate.edu

James B. Fenwick, Jr., Program Director and Associate Professor Ph.D., The University of Delaware FenwickJB@appstate.edu 118 Master of Science in Computer Science Department of Computer Science College of Arts and Sciences James T. Wilkes, Chair and Professor Ph.D., Duke University WilkesJT@appstate.edu http://www.cs.appstate.edu/

More information

Masters in Human Computer Interaction

Masters in Human Computer Interaction Masters in Human Computer Interaction Programme Requirements Taught Element, and PG Diploma in Human Computer Interaction: 120 credits: IS5101 CS5001 CS5040 CS5041 CS5042 or CS5044 up to 30 credits from

More information

Computer Science Program

Computer Science Program Computer Science Program The Department of Computer Science was established along with the start of FCIT. The department aims at establishing strong academic knowledge and experiences so that students

More information

CS Standards Crosswalk: CSTA K-12 Computer Science Standards and Oracle Java Programming (2014)

CS Standards Crosswalk: CSTA K-12 Computer Science Standards and Oracle Java Programming (2014) CS Standards Crosswalk: CSTA K-12 Computer Science Standards and Oracle Java Programming (2014) CSTA Website Oracle Website Oracle Contact http://csta.acm.org/curriculum/sub/k12standards.html https://academy.oracle.com/oa-web-introcs-curriculum.html

More information

PCCC PCCC Course Description

PCCC PCCC Course Description Course Description CIS 101 Computer Concepts and Applications 3 credits (formerly Introduction to Computers and Information Processing) Introduces a variety of topics in computers and computing including

More information

Diploma Of Computing

Diploma Of Computing Diploma Of Computing Course Outline Campus Intake CRICOS Course Duration Teaching Methods Assessment Course Structure Units Melbourne Burwood Campus / Jakarta Campus, Indonesia March, June, October 022638B

More information

Degrees Major in Computer Science Minor in Computer Science Major in Software Engineering

Degrees Major in Computer Science Minor in Computer Science Major in Software Engineering LT400, Independent Study: Directed reading registering. (U)(1). LT401, Independent Study: Directed reading registering. (U)(2). LT402, Independent Study: Directed reading registering. (U)(3). LT499, Honors

More information

Computer Science. General Education Students must complete the requirements shown in the General Education Requirements section of this catalog.

Computer Science. General Education Students must complete the requirements shown in the General Education Requirements section of this catalog. Computer Science Dr. Ilhyun Lee Professor Dr. Ilhyun Lee is a Professor of Computer Science. He received his Ph.D. degree from Illinois Institute of Technology, Chicago, Illinois (1996). He was selected

More information

Program Introduction Course Curriculum Individual Course Descriptions Core Courses... 7

Program Introduction Course Curriculum Individual Course Descriptions Core Courses... 7 Contents Program Introduction... 3 Course Curriculum... 4 Individual Course s... 7 Core Courses... 7 BCS Specialization Courses Database Development... 14 BCS Specialization Courses Software Engineering...

More information

Eastern Washington University Department of Computer Science. Questionnaire for Prospective Masters in Computer Science Students

Eastern Washington University Department of Computer Science. Questionnaire for Prospective Masters in Computer Science Students Eastern Washington University Department of Computer Science Questionnaire for Prospective Masters in Computer Science Students I. Personal Information Name: Last First M.I. Mailing Address: Permanent

More information

Please consult the Department of Engineering about the Computer Engineering Emphasis.

Please consult the Department of Engineering about the Computer Engineering Emphasis. COMPUTER SCIENCE Computer science is a dynamically growing discipline. ABOUT THE PROGRAM The Department of Computer Science is committed to providing students with a program that includes the basic fundamentals

More information

Computer and Information Sciences

Computer and Information Sciences Computer and Information Sciences Dr. John S. Eickmeyer, Chairperson Computers are no longer huge machines hidden away in protected rooms and accessible to only a few highly-trained individuals. Instead,

More information

Computer Science. Courses. Computer Science 1

Computer Science. Courses. Computer Science 1 Computer Science 1 Computer Science Courses CMP SCI 1011 Introduction to the Internet and World Wide Web: 3 semester Intended for any student wishing to utilize the Internet and World Wide Web more effectively.

More information

COURSE DESCRIPTION FOR THE COMPUTER INFORMATION SYSTEMS CURRICULUM

COURSE DESCRIPTION FOR THE COMPUTER INFORMATION SYSTEMS CURRICULUM COURSE DESCRIPTION FOR THE COMPUTER INFORMATION SYSTEMS CURRICULUM Course Code 2505100 Computing Fundamentals Pass/ Fail Prerequisite None This course includes an introduction to the use of the computer

More information

2015-2016 Academic Catalog

2015-2016 Academic Catalog 2015-2016 Academic Catalog Master of Science in Computer Science Graduate Arts and Sciences Director: Babak Forouraghi, Ph.D., Barbelin Hall, Rm 213, 610-660-1167, bforoura@sju.edu M.S. Computer Science

More information

INFORMATION TECHNOLOGY (INFO)

INFORMATION TECHNOLOGY (INFO) INFORMATION TECHNOLOGY (INFO) This is a list of the Information Technology (INFO) available at KPU. Please note: Access to 1000-level is limited to Bachelor of Technology in Information Technology, Computer

More information

Computer Science. 232 Computer Science. Degrees and Certificates Awarded. A.S. Degree Requirements. Program Student Outcomes. Department Offices

Computer Science. 232 Computer Science. Degrees and Certificates Awarded. A.S. Degree Requirements. Program Student Outcomes. Department Offices 232 Computer Science Computer Science (See Computer Information Systems section for additional computer courses.) We are in the Computer Age. Virtually every occupation in the world today has an interface

More information

COMPUTER SCIENCE. FACULTY: Jennifer Bowen, Chair Denise Byrnes, Associate Chair Sofia Visa

COMPUTER SCIENCE. FACULTY: Jennifer Bowen, Chair Denise Byrnes, Associate Chair Sofia Visa FACULTY: Jennifer Bowen, Chair Denise Byrnes, Associate Chair Sofia Visa COMPUTER SCIENCE Computer Science is the study of computer programs, abstract models of computers, and applications of computing.

More information

CAD and Creativity. Contents

CAD and Creativity. Contents CAD and Creativity K C Hui Department of Automation and Computer- Aided Engineering Contents Various aspects of CAD CAD training in the university and the industry Conveying fundamental concepts in CAD

More information

ABET General Outcomes. Student Learning Outcomes for BS in Computing

ABET General Outcomes. Student Learning Outcomes for BS in Computing ABET General a. An ability to apply knowledge of computing and mathematics appropriate to the program s student outcomes and to the discipline b. An ability to analyze a problem, and identify and define

More information

Computer Science. Master of Science

Computer Science. Master of Science Computer Science Master of Science The Master of Science in Computer Science program at UALR reflects current trends in the computer science discipline and provides students with a solid theoretical and

More information

UNDERGRADUATE DEGREE PROGRAMME IN COMPUTER SCIENCE ENGINEERING SCHOOL OF COMPUTER SCIENCE ENGINEERING, ALBACETE

UNDERGRADUATE DEGREE PROGRAMME IN COMPUTER SCIENCE ENGINEERING SCHOOL OF COMPUTER SCIENCE ENGINEERING, ALBACETE UNDERGRADUATE DEGREE PROGRAMME IN COMPUTER SCIENCE ENGINEERING SCHOOL OF COMPUTER SCIENCE ENGINEERING, ALBACETE SCHOOL OF COMPUTER SCIENCE, CIUDAD REAL Core Subjects (CS) Compulsory Subjects (CPS) Optional

More information

The University of Jordan

The University of Jordan The University of Jordan Master in Web Intelligence Non Thesis Department of Business Information Technology King Abdullah II School for Information Technology The University of Jordan 1 STUDY PLAN MASTER'S

More information

İZMİR INSTITUTE OF TECHNOLOGY GRADUATE SCHOOL OF ENGINEERING AND SCIENCES DEPARTMENT OF COMPUTER ENGINEERING DOCTORAL PROGRAM IN COMPUTER ENGINEERING

İZMİR INSTITUTE OF TECHNOLOGY GRADUATE SCHOOL OF ENGINEERING AND SCIENCES DEPARTMENT OF COMPUTER ENGINEERING DOCTORAL PROGRAM IN COMPUTER ENGINEERING İZMİR INSTITUTE OF TECHNOLOGY GRADUATE SCHOOL OF ENGINEERING AND SCIENCES DEPARTMENT OF COMPUTER ENGINEERING DOCTORAL PROGRAM IN COMPUTER ENGINEERING Core Courses CENG 590 CENG 600 CENG 8XX Seminar (0-2)

More information

COMPUTER SCIENCE BIOLOGY. Lower Division

COMPUTER SCIENCE BIOLOGY. Lower Division Lower Division The Department of Computer and Electrical Engineering and Computer Science offers courses on topics of current interest to the community from time to time. Call the department office, (661)

More information

Department of Computer Science

Department of Computer Science The University of Texas at San Antonio 1 Department of Computer Science The Department of Computer Science offers a Bachelor of Science degree in Computer Science and a Minor in Computer Science. Admission

More information

LONDON SCHOOL OF COMMERCE. Programme Specification for the. Cardiff Metropolitan University. BSc (Hons) in Computing

LONDON SCHOOL OF COMMERCE. Programme Specification for the. Cardiff Metropolitan University. BSc (Hons) in Computing LONDON SCHOOL OF COMMERCE Programme Specification for the Cardiff Metropolitan University BSc (Hons) in Computing Contents Programme Aims and Objectives Programme Structure Programme Outcomes Mapping of

More information

COMPUTER SCIENCE. Department of Mathematics & Computer Science

COMPUTER SCIENCE. Department of Mathematics & Computer Science Department of Mathematics & Computer Science COMPUTER SCIENCE This document is meant as a planning guide only. Students are advised to consult with the Chair of the Department if they have specific questions

More information

Poznan University of Technology Faculty of Electrical Engineering

Poznan University of Technology Faculty of Electrical Engineering Poznan University of Technology Faculty of Electrical Engineering Contact Person: Pawel Kolwicz Vice-Dean Faculty of Electrical Engineering pawel.kolwicz@put.poznan.pl List of Modules Academic Year: 2015/16

More information

IC 1101 Basic Electronic Practice for Electronics and Information Engineering

IC 1101 Basic Electronic Practice for Electronics and Information Engineering 7. INDUSTRIAL CENTRE TRAINING In the summer between Year 1 and Year 2, students will undergo Industrial Centre Training I in the Industrial Centre (IC). In the summer between Year 2 and Year 3, they will

More information

Master s Program in Information Systems

Master s Program in Information Systems The University of Jordan King Abdullah II School for Information Technology Department of Information Systems Master s Program in Information Systems 2006/2007 Study Plan Master Degree in Information Systems

More information

Structure of Presentation. The Role of Programming in Informatics Curricula. Concepts of Informatics 2. Concepts of Informatics 1

Structure of Presentation. The Role of Programming in Informatics Curricula. Concepts of Informatics 2. Concepts of Informatics 1 The Role of Programming in Informatics Curricula A. J. Cowling Department of Computer Science University of Sheffield Structure of Presentation Introduction The problem, and the key concepts. Dimensions

More information

Computer Science. Requirements for the Major (updated 11/13/03)

Computer Science. Requirements for the Major (updated 11/13/03) Computer Science Faculty: Knox Chair; Komagata,, Martinovic, Neff, Sampath, Wolz Faculty from mathematics with joint teaching appointments in computer science: Conjura, Greenbaun, Iannone The computer

More information

Position Classification Flysheet for Computer Science Series, GS-1550. Table of Contents

Position Classification Flysheet for Computer Science Series, GS-1550. Table of Contents Position Classification Flysheet for Computer Science Series, GS-1550 Table of Contents SERIES DEFINITION... 2 OCCUPATIONAL INFORMATION... 2 EXCLUSIONS... 4 AUTHORIZED TITLES... 5 GRADE LEVEL CRITERIA...

More information

Computer Science and Software Engineering

Computer Science and Software Engineering LT360, Topics in Latin: In-depth study of works not covered in earlier courses. This course is repeatable for credit. Prerequisites: LT203 and LT204, placement into the 300 level, or permission of instructor.

More information

LONG BEACH CITY COLLEGE MEMORANDUM

LONG BEACH CITY COLLEGE MEMORANDUM LONG BEACH CITY COLLEGE MEMORANDUM DATE: May 5, 2000 TO: Academic Senate Equivalency Committee FROM: John Hugunin Department Head for CBIS SUBJECT: Equivalency statement for Computer Science Instructor

More information

Master of Science in Computer Science Information Systems

Master of Science in Computer Science Information Systems Master of Science in Computer Science Information Systems 1. General Admission Requirements. Admission to Graduate Studies (see graduate admission requirements). 2. Program Admission. In addition to meeting

More information

COMPUTER ENGINEERING GRADUTE PROGRAM FOR MASTER S DEGREE (With Thesis)

COMPUTER ENGINEERING GRADUTE PROGRAM FOR MASTER S DEGREE (With Thesis) COMPUTER ENGINEERING GRADUTE PROGRAM FOR MASTER S DEGREE (With Thesis) PREPARATORY PROGRAM* COME 27 Advanced Object Oriented Programming 5 COME 21 Data Structures and Algorithms COME 22 COME 1 COME 1 COME

More information

Masters in Advanced Computer Science

Masters in Advanced Computer Science Masters in Advanced Computer Science Programme Requirements Taught Element, and PG Diploma in Advanced Computer Science: 120 credits: IS5101 CS5001 up to 30 credits from CS4100 - CS4450, subject to appropriate

More information

2010-2011 Assessment for Master s Degree Program Fall 2010 - Spring 2011 Computer Science Dept. Texas A&M University - Commerce

2010-2011 Assessment for Master s Degree Program Fall 2010 - Spring 2011 Computer Science Dept. Texas A&M University - Commerce 2010-2011 Assessment for Master s Degree Program Fall 2010 - Spring 2011 Computer Science Dept. Texas A&M University - Commerce Program Objective #1 (PO1):Students will be able to demonstrate a broad knowledge

More information

SYSTEMS, CONTROL AND MECHATRONICS

SYSTEMS, CONTROL AND MECHATRONICS 2015 Master s programme SYSTEMS, CONTROL AND MECHATRONICS INTRODUCTION Technical, be they small consumer or medical devices or large production processes, increasingly employ electronics and computers

More information

COURSE CATALOGUE 2013-2014

COURSE CATALOGUE 2013-2014 COURSE CATALOGUE 201-201 Field: COMPUTER SCIENCE Programme: Bachelor s Degree Programme in Computer Science (Informatics) Length of studies: years (6 semesters) Number of ECTS Credits: 180 +0 for the B.Sc.

More information

Department of Computer Science

Department of Computer Science 158 Department of Computer Science Department of Computer Science Chairperson: Nasri, Ahmad H. Professor: Nasri, Ahmad H. Associate Professors: Attie, Paul C.; Karam, Marcel R.; Turkiyyah, George M. Assistant

More information

Course Descriptions - Computer Science and Software Engineering

Course Descriptions - Computer Science and Software Engineering One of the nation's top undergraduate engineering, science, and mathematics colleges Course Descriptions - Computer Science and Software Engineering Professors Anderson, Boutell, Chenoweth, Chidanandan,

More information

Department of Computer Science

Department of Computer Science Department of Computer Science Ali Sekmen, PhD 2, Chair 005, McCord Hall 615-963-5712 Faculty: K. Al Nasr, W. Chen, E. Erdemir, M. Hayes, H. Miao, T. Rogers, G. Shao, F. Yao General Statement: The Department

More information

SCHOOL OF ELECTRONICS AND COMPUTER SCIENCE

SCHOOL OF ELECTRONICS AND COMPUTER SCIENCE SCHOOL OF ELECTRONICS AND COMPUTER SCIENCE Information systems and software engineering are the key disciplines that ensure effective modelling, definition of requirements and specification, and the efficient

More information

Course Code Course Title No. of credits COMP4804 Computing and data analytics project 6 Total for Capstone Experience 6

Course Code Course Title No. of credits COMP4804 Computing and data analytics project 6 Total for Capstone Experience 6 Computing & Data Analytics Faculty General Engineering Courses (18 credits) COMP2121 Discrete Mathematics 6 ENGG1111 Computer Programming and Applications 6 MATH1013 University mathematics II* 6 Total

More information

Description of the program

Description of the program Study program Faculty Cycle Software Engineering Contemporary Sciences and Technologies Postgraduate ECTS 120 Offered in Tetovo Description of the program The Masters programme in Software Engineering

More information

Course Descriptions - Computer Science and Software Engineering

Course Descriptions - Computer Science and Software Engineering 2005-2006 Undergraduate Bulletin Course Descriptions - Computer Science and Software Engineering Professors Anderson, Ardis, Bagert, Boutell, Chenoweth, Chidanandan, Clifton, Kaczmarczyk, Laxer, Mellor,

More information

Eastern Washington University Department of Computer Science. Questionnaire for Prospective Masters in Computer Science Students

Eastern Washington University Department of Computer Science. Questionnaire for Prospective Masters in Computer Science Students Eastern Washington University Department of Computer Science Questionnaire for Prospective Masters in Computer Science Students I. Personal Information Name: Last First M.I. Mailing Address: Permanent

More information

Graduate Co-op Students Information Manual. Department of Computer Science. Faculty of Science. University of Regina

Graduate Co-op Students Information Manual. Department of Computer Science. Faculty of Science. University of Regina Graduate Co-op Students Information Manual Department of Computer Science Faculty of Science University of Regina 2014 1 Table of Contents 1. Department Description..3 2. Program Requirements and Procedures

More information

Depth and Excluded Courses

Depth and Excluded Courses Depth and Excluded Courses Depth Courses for Communication, Control, and Signal Processing EECE 5576 Wireless Communication Systems 4 SH EECE 5580 Classical Control Systems 4 SH EECE 5610 Digital Control

More information

DIABLO VALLEY COLLEGE CATALOG 2014-2015

DIABLO VALLEY COLLEGE CATALOG 2014-2015 COMPUTER SCIENCE COMSC The computer science department offers courses in three general areas, each targeted to serve students with specific needs: 1. General education students seeking a computer literacy

More information

Microsoft Training and Certification Guide. Current as of December 31, 2013

Microsoft Training and Certification Guide. Current as of December 31, 2013 Microsoft Training and Certification Guide Current as of December 31, 2013 Welcome to the Microsoft Training and Certification Guide. This device is intended to provide a quick, comprehensive view of our

More information

MSc Information Technology - E521

MSc Information Technology - E521 MSc Information Technology - E521 1. Aims and Objectives This conversion programme targets non-engineering graduates with a view of preparing them for the employment market where up-to-date IT skills represent

More information

B.Sc. in Computer Information Systems Study Plan

B.Sc. in Computer Information Systems Study Plan 195 Study Plan University Compulsory Courses Page ( 64 ) University Elective Courses Pages ( 64 & 65 ) Faculty Compulsory Courses 16 C.H 27 C.H 901010 MATH101 CALCULUS( I) 901020 MATH102 CALCULUS (2) 171210

More information

Development (60 ЕCTS)

Development (60 ЕCTS) Study program Faculty Cycle Software and Application Development (60 ЕCTS) Contemporary Sciences and Technologies Postgraduate ECTS 60 Offered in Tetovo Description of the program The objectives of the

More information

MICHIGAN TEST FOR TEACHER CERTIFICATION (MTTC) TEST OBJECTIVES FIELD 050: COMPUTER SCIENCE

MICHIGAN TEST FOR TEACHER CERTIFICATION (MTTC) TEST OBJECTIVES FIELD 050: COMPUTER SCIENCE MICHIGAN TEST FOR TEACHER CERTIFICATION (MTTC) TEST OBJECTIVES Subarea Educational Computing and Technology Literacy Computer Systems, Data, and Algorithms Program Design and Verification Programming Language

More information

KMU International School

KMU International School KMU International School General Education 1. Writing & Critical Reasoning As a modern global intellectual, the student fosters his or her writing ability and capability of expression so that he or she

More information

SOFTWARE ENGINEERING PROGRAM

SOFTWARE ENGINEERING PROGRAM SOFTWARE ENGINEERING PROGRAM PROGRAM TITLE DEGREE TITLE Master of Science Program in Software Engineering Master of Science (Software Engineering) M.Sc. (Software Engineering) PROGRAM STRUCTURE Total program

More information