UNDERGRADUATE DEGREE DETAILS : BACHELOR OF SCIENCE WITH

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1 QATAR UNIVERSITY COLLEGE OF ARTS & SCIENCES Department of Mathematics, Statistics, & Physics UNDERGRADUATE DEGREE DETAILS : Program Requirements and Descriptions BACHELOR OF SCIENCE WITH A MAJOR IN STATISTICS AND A MIR IN COMPUTER SCIENCE 1 Degree Basic Information 2 General Requirements of the Degree and Credit Allocation 3 General Structure of the Degree s (3-I) University Requirements (3-II) General Free Electives (3-III) College Requirements (3-IV)Major Requirements (3-V)Minor Requirements (3-VI) Specialized Compulsory Supporting s (3-VII) Specialized Elective Supporting s 4 Sample Four-Year Plan of Study 5 Description of Major s CONTENTS May2009

2 1 Degree Basic Information College: Arts & Science Department: Mathematics, Statistics & Physics Degree: Bachelor of Science (B.Sc.) Program: Major Statistics - Minor Computer Science Admission Criteria: 1. High School Certificate or its equivalent in Science with a minimum Percentage of 70% 2. Successful completion of the Foundation Program Degree Program Available To: Male Female Total credit hours required for graduation: 120 Credit Hours Program starts on: Semester: Academic Year: 2004/2005 Maximum No. of admitted students: Male: 25 Female: 25 Graduation Project Period: One Semester Two Semesters Practical Training: Summer Duration: 2 General Requirements of the Degree and Credit Allocation To be eligible for the award of the Bachelor of Science degree with a Major Statistics in and a Minor in Computer Science, the student is required to successfully complete 120 credit hours of course work distributed as follows : Degree Requirements Required No. of Req. s Offered No. of Offered s University Requirements College Requirements Major Compulsory Core s Major Elective s Minor Compulsory Core s Minor Elective s Specialized Compulsory Supporting s Specialized Elective Supporting s Free Electives Total Department of Mathematics, Statistics, & Physics B.SC. In Statistics / Computer Science Page 2 of 10

3 3 General Structure of the Degree s (3-I) University Requirements (34 ) All Statistics Majors must complete successfully 34 credit hours in the University (General Education) requirements, divided as follows: Information Group (1) Arabic Language (6 ): ARAB 100 Arabic Language (1) 3 None ARAB 200 Arabic Language (2) 3 ARAB 100 Group (2) English Language (6 ): ENGL 202 English Language (1) 3 None ENGL 203 English Language (2)-Post Foundation 3 ENGL 202 Instructions in Group (3) Islamic Culture (3 ): DAWA 111 Islamic Culture 3 Arabic Group (4) Humanity Civilization (3 ): HIST 188 Ancient World Civilization 3 None One course (3 ) to be selected from three HIST 199 Western Modern Civilization 3 None (9 ) elective courses HIST 342 Islamic Civilization(Thought and Institution) 3 None Group (5) Qatar and Gulf History (3 ): HIST 451 Modern And Contemporary History Of Qatar 3 Instructions in Arabic Group (6): Information technology (2 ): INFO 100 Information technology Basics 2 None Group (7) Health Education (2 ): One course (2 ) to be selected from three (6 ) elective courses Group (8) Skills of Comm. & Relations (3 ): One course (3 ) to be selected from four (12 ) elective courses Group (9) Free electives (6 ): Two courses (6 ) to be selected from six (18 ) elective courses HECO 489 Food Culture 2 None PSYC 405 Health Education 2 None MTHL 325 Health Psychology 2 None PSYC 410 Social Psychology 3 None SOCI 111 Society And Culture 3 None MCOM 205 Introduction to Public relations 3 None MCOM 220 Communication Skills 3 None FEDU 314 Education and Societal Problems 3 None PSYC 325 Psychology of Personality 3 None USUL 231 Comp Revealed Religions 3 None FIQH 318 Contemporary Issues In Islamic Jurisprudence 3 None PHIL 111 Logic And Research Methods 3 None SOWS 361 Society And Human Rights 3 None (3-II) General Free Electives (2 ) Information Free Electives (3-III) College Requirements (0 ) Information College Requirements Department of Mathematics, Statistics, & Physics B.SC. In Statistics / Computer Science Page 3 of 10

4 Major Elective s 14 Major Compulsory s 27 Qatar University Undergraduate Degree Details May2009 (3-IV)Major Requirements (41 Hrs: 27 Compulsory and 14 Electives) Each student Majoring in Statistics should successfully complete the following: A total of 27 credit hours of compulsory core courses; A total of 14 credit hours of elective core courses to be chosen from a departmentally approved list of 35 credit hours upper level Statistics courses. Information Wkly Hrs Fees/ Pre /Co-requisites / LC LB 1. STAT 153 Introduction to Statistics None 2. STAT 251 Introduction to Probability MATH 102/Calculus 2 3. STAT 258 Applied Regression Analysis STAT 153/ Introd to Stat 4. STAT 351 Mathematical Statistics STAT 251/ Introd to Prob 5. STAT 354 Experimental Design STAT 258/ Appl Regr Analy or STAT 352/ Statistical Methods I STAT 251/ Introd to Prob and 6. STAT 451 Time Series (1) (STAT 352/ Statistical Methods I or STAT 258/ Appl Regr Analy ) 7. STAT 452 Sampling Methods STAT 251/ Introd to Prob 8. STAT 459 Multivariate Analysis STAT 354/ Experimental Design or STAT 352/ Statistical Methods I 9. STAT 499 Senior Project Department Approval TOTAL 9 s STAT 153/ Introd to Stat or 1. STAT 255 Biostatistics STAT 151/ Introd to Appl Stat or STAT 156/ Stat for Pharmacy 2. STAT 256 Fundamentals of Clinical Trials STAT 255/ Biostatistics STAT 251 / Introd to Prob or 3. STAT 357 Stochastic Processes STAT 350/ Introd to Stat & Prob 4. STAT 358 Categorical Data Analysis STAT 258/ Appl Regr Analy or STAT 352/ Introd to Prob 5. STAT 359 Quality Control STAT 251/ Introd to Prob or STAT 350/ Introd to Stat & Prob 6. STAT 453 Statistical Packages STAT 258/ Appl Regr Analy or STAT 352/ Statistical Methods I 7. STAT 454 Time Series (2) STAT 451/ Time Series (1) 8. STAT 455 Nonparametric Methods STAT 153/ Introd to Stat 9. STAT 456 Reliability and Life Testing STAT 351/ Mathem Stat 10. STAT 457 Statistical Simulation STAT 251/ Introd to Prob 11. STAT 497 Independent Study Department Approval 12. STAT 498 Special Topics Department Approval TOTAL 12 s Department of Mathematics, Statistics, & Physics B.SC. In Statistics / Computer Science Page 4 of 10

5 Minor Elective s 9 Minor Compulsory s 15 Qatar University Undergraduate Degree Details May2009 (3-V)Minor Requirements (24 Hrs: 15 Compulsory and 9 Electives) Each Statistics Major student Minoring in Computer Science should successfully complete 24 credit hours distributed as follows : A total of 15 credit hours of compulsory core courses; A total of 9 credit hours of elective core courses to be chosen from a departmentally approved list of 39 credit hours upper level Computer Science courses. Information Wkly Hrs Fees/ LC LB 1. CMPS 221 Programming Concepts None Pre /Co-requisites / CMPS 221/ Programming 2. CMPS 251 Advanced Programming Concepts CMPS 251/Adv. Programming Or 3. CMPS 303 Data Structures CMPE 265/ Object Oriented Programming Design 4. CMPS 322 Computer Organization CMPS 222/ or MATH 261/ Discrete. Math or MATH 220/Found. Math CMPS 251/Adv. Programming Or 5. CMPS 351 Fundamentals of Database System CMPE 265/ Object Oriented Programming Design TOTAL 5 s CMPS 311 Object Oriented Modeling CMPS 251/Adv. Programming 2. CMPS 321 Information Systems CMPS 251/Adv. Programming 3. CMPS 372 Computer Architecture CMPS 322/Comp. Organization 4. CMPS 373 Computer Graphics CMPS 303/Data Structures 5. CMPS 393 Modeling and Simulation CMPS 303/ Data Structures 6. CMPS 403 Artificial Intelligence CMPS 303/Data Structures 7. CMPS 405 Operating Systems CMPS 303/Data Structures and (CMPS 322/Comp. Organization or CMPE 263/Comp. Architecture or CMPE 363/ Comp.Organ. and Design) 8. CMPS 411 Software Engineering CMPS 303/Data Structures 9. CMPS 433 Multimedia Systems CMPS 303/Data Structures 10. CMPS 351/ Fundamentals of CMPS 451 Database Management System Database System 11. CMPS 303/Data Structures and CMPS 455 Computer Networks CMPS 322/Comp. Organization 12. CMPS 466 Information Retrieval and Web Agents CMPS 251/ Adv. Programming 13. CMPS 483 Expert Systems CMPS 303/ Data Structures TOTAL 13 s Department of Mathematics, Statistics, & Physics B.SC. In Statistics / Computer Science Page 5 of 10

6 Supporting s 6 Supporting s 15 Qatar University Undergraduate Degree Details May2009 (3-VI) Specialized Compulsory Supporting s (15 Hrs) Students Majoring in Statistics and Minoring in Computer Science are required to successfully complete 15 credit hours of supporting course outside the Major distributed as follows: Information Wkly Hrs Fees/ Pre /Co-requisites LC LB / 1. MATH 101 Calculus (1) None 2. MATH 102 Calculus (2) MATH 101/ Calculus (1) 3. MATH 211 Calculus (3) MATH 102/ Calculus (2) 4. MATH 212 Calculus (4) MATH 211/Calculus (3) 5. MATH 261 Discrete Mathematics MATH 101/ Calculus (1) TOTAL 5 s (3-VII) Specialized Elective Supporting s (6 Hrs) Students Majoring in Statistics and Minoring in Mathematics are required to successfully complete 6 credit hours which are to be selected from the courses listed below: Information Wkly Hrs Fees/ Pre /Co-requisites LC LB / 1. MATH 231 Linear Algebra None 2. MATH 213 Differential Equations MATH 102/ Calculus (2) 3. MATH 366 Numerical Analysis (1) MATH 102/ Calculus (2) 4. MATH 368 Operations Research (1) MATH 231/ Linear Algebra TOTAL 4 s Department of Mathematics, Statistics, & Physics B.SC. In Statistics / Computer Science Page 6 of 10

7 4 Sample Four-Year Plan of Study First Year: Freshman Year Semester 1 Semester 2 - ARAB 100 Arabic Language (1) 3 None ARAB 200 Arabic Language (2) 3 ARAB 100 ENGL 202 English Language (1) 3 None ENGL 203 English Language (2) 3 ENGL 202 *** University Requirement 3 *** *** University Requirement 3 *** *** University Requirement 3 *** MATH 102 Calculus (2) 3 MATH 101 MATH 101 Calculus (1) 3 None STAT 153 Introduction to Statistics 3 None TOTAL 15 TOTAL 15 Semester 3 Second Year: Sophomore Year Semester 4 - *** University Requirement 3 *** *** University Requirement 3 *** *** University Requirement 3 *** *** University Requirement 2 *** STAT 251 Introduction to Probability 3 MATH 102 *** University Requirement 2 *** CMPS 221 Programming Concepts 3 None MATH 212 Calculus (4) 3 MATH 211 MATH 211 Calculus (3) 3 MATH 102 CMPS 251 Advanced programming 3 CMPS 221 STAT 258 Applied Regression Analysis 3 STAT 153 TOTAL 15 TOTAL 16 Semester 5 Third Year: Junior Year Semester 6 - MATH 231 Linear Algebra 3 None STAT 452 Sampling Methods 3 STAT 251 STAT 351 Mathematical Statistics 3 STAT 251 STAT 459 Multivariate Analysis 3 STAT 354 Experimental Design 3 STAT 258 CMPS 322 Computer Organization 3 CMPS 303 Data Structures 3 CMPS 251 or CMPE 265 CMPS 351 Fundamentals of Database System 3 STAT 354 or STAT 352 CMPS 222 or MATH 261 or MATH 220 CMPS 251 or CMPE 265 *** Major Elective 3 *** *** Minor Elective 3 *** TOTAL 15 TOTAL 15 Semester 7 STAT 451 Time Series (1) 3 Fourth Year: Senior Year STAT 251 and (STAT 352 or STAT 258) Semester 8 - STAT 499 Senior Project 3 Department Approval *** Major Elective 3 *** *** Major Elective 2 *** *** Major Elective 3 *** *** Major Elective 3 *** *** Minor Elective 3 *** *** Minor Elective 3 *** *** Supporting Elective 3 *** *** Supporting Elective 3 *** TOTAL 15 TOTAL 14 Department of Mathematics, Statistics, & Physics B.SC. In Statistics / Computer Science Page 7 of 10

8 5 Description of Major s 1. STAT STAT 251 Wkly Hrs LC LB Introduction to Statistics None Introduction to Probability MATH STAT 255 Biostatistics STAT STAT STAT STAT STAT 357 Fundamentals of Clinical Trials Applied Regression Analysis STAT 153 or STAT 151 or STAT STAT STAT 153 Semester Offered and and and Mathematical Statistics STAT 251 Experimental Design STAT 258 Stochastic Processes STAT 251 or STAT 350 Content Basic Concepts and Definitions of Statistics Terminology, Organization and Graphical Presentation of Statistical Data; Measures of Central Tendency and Dispersion; Percentiles and Quartiles; Basic Probability Concepts; Discrete and Continuous Random Variables and Distributions; Sampling Distribution of the Mean, t, Chi Square and F Distributions; Interval Estimation; Hypothesis Testing for Means, Proportions and Variances. Random experiment; Events; Counting Techniques; Axioms of Probability; Random Variables; Distribution and Density Functions; Conditional Distributions; Expectation; Moment Generating Functions; Law of Large Numbers and Central Limit Theorem. Sampling and Medical Studies; Summarizing and Presenting Data; Demographic Statistics; Survival Analysis; Analysis of Cross Tabulation; Inference from Means; Parametric and Non-Parametric; Multiple Linear, Logistic, Poisson and Cox regression ; Sample Size Determination Concepts in the design of Clinical Studies; Randomized Controlled Clinical Trials; Bias Elimination; Controls; Treatment Assignment and Randomization; Precision; Replication; Power and Sample Size Calculations; Stratification; Ethics; Data Analysis. Simple Linear Regression; Residual Analysis; Autocorrelation; Multiple Regression; Parameter Estimation and Testing; Model Selection Procedures; Polynomial Regression; Indicator Variables; Multicollinearity; Outliers and Influential Observations. Functions of random variables; Sampling Distribution; Limiting Distributions; Properties of Good Estimators; Maximum Likelihood and Moment Estimation; Interval Estimation; Hypotheses Testing; Neyman -Pearson Lemma; Uniformly most powerful and Likelihood Ratio Tests. Principles of Experimental Design; Completely Randomized designs; Randomized Complete Block designs; Latin Square designs; Incomplete Block Designs; Factorial Experiments; Split Plot; Analysis of Covariance. Elements of Stochastic Processes; Discrete Time Markov Chains; Random Walks; Branching Processes; Poisson Processes; Birth and Death Processes; Queuing Systems; Renewal Processes. Department of Mathematics, Statistics, & Physics B.SC. In Statistics / Computer Science Page 8 of 10

9 9. STAT 358 Categorical Data Analysis Wkly Hrs LC LB STAT 359 Quality Control STAT 451 Time Series (1) STAT 258 or STAT 352 STAT 251 or STAT 350 STAT 251 (STAT 352/ or STAT 258) Semester Offered 12. STAT 452 Sampling Methods STAT STAT 453 Statistical Packages STAT 258 or STAT STAT 454 Time Series (2) STAT 451 Content Contingency Tables; Measures of Association; Exact and Asymptotic methods for 2x2 and rxc Contingency Tables; Probit and Logistic Regression Models for Binary Data; Loglinear Models for Multiway Contingency Tables. Analysis of Control Charts for Variables and Attributes; Histogram Analysis; Process Capability; Standard Acceptance Sampling Plans; Process Reliability. Classical Forecasting Models; Estimation of Trends and Seasonal Effects; Smoothing Techniques; Stationary and Non-stationary models; Moving Average, Autoregressive, ARMA, and ARIMA Models and Forecasting Time Series; Identification of Models; Estimation of Model Parameters. Principles of sampling; questionnaire Design; Simple random sampling; Stratified and Cluster Sampling; Ratio and Regression estimation; Systematic Sampling; Multistage and Multiphase Sampling; Determination of the sample Size; Nonresponse and Non-sampling Errors Adjustment. Use of Statistical Packages such as SPSS, MINITAB, and SAS in Data Analysis; Topics include Data Entry, Checking, and Manipulation; Exploratory Data Analysis; Regression and Analysis of Variance; Analysis of One, Two, k- Sample Parametric and Non-parametric Statistical Problems. Spectral Representation of a Stationary Process; Estimation of the Spectral Density Functions; Transfer Function Models; Intervention Analysis; Multivariate Time Series Models; ARIMA and State Space Modeling; Kalman Filtering. 15. STAT 455 Nonparametric Methods STAT 153 Basic Concepts of Non-Parametric Methods; Testing and Estimation for one, Two, and Several sample Problems; Independent and Paired; Location and Dispersion Problems; Goodness of Fit Tests; Tests for Trends and Association; Analysis of variance of Ranked Data; Pittman Efficiency of Non-Parametric Methods. 16. STAT 456 Reliability and Life Testing STAT 351 Reliability Concepts; Component and System Reliability; Notions of Aging; Lifetime Distributions and Hazard Functions; Types of Censoring; Nonparametric Estimation of Reliability Function; Kaplan-Meier and Nelson Estimators; Parametric Inference Procedures for Exponential, Weibull and Extreme Value Distributions; Proportional Hazards Regression Model; Accelerated Life Testing; Stress-Strength Models. Department of Mathematics, Statistics, & Physics B.SC. In Statistics / Computer Science Page 9 of 10

10 17. STAT STAT 459 Statistical Simulation Multivariate Analysis Wkly Hrs LC LB STAT STAT 497 Independent Study STAT 498 Special Topics STAT 499 Senior Project STAT 354 STAT 352 Department Approval Department Approval Department Approval Semester Offered and Content Generating of Discrete and Continuous Random Variables; Bootstrapping; Variance Reduction Techniques; Model Design and Simulation with Applications Including Queuing and other Applications; Verification and Validation of the Model. Organization of Multivariate Data; Multivariate Distributions; Mahalanobis Distance; Hotelling's T2; Multivariate Analysis of Variance and Regression; Data Reduction Techniques; Discriminant and Classification Analysis; Canonical Correlation Analysis. Designed for students who wish to pursue further reading in a particular topic of current interest in Statistics under the guidance of a faculty member. Each student is required to present analytical evaluation of his/her reading to his/her faculty supervisor. Studies topics in statistics that are not part of the regular offerings. Topics will be selected by statistics faculty members as appropriate. A variety of skills learned throughout the curriculum are combined by expecting students to work through a variety of cases studies. Students are expected to collect data and analyze the data individually. Oral and written research reports suitable in format and content are required. Department of Mathematics, Statistics, & Physics B.SC. In Statistics / Computer Science Page 10 of 10

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