Physical Science
Third Year Course Units
| Course No. | Course Module | Credits | Hours | Combination | |||||
|---|---|---|---|---|---|---|---|---|---|
| Sem I | P1 | P2 | P3 | P4 | P5 | P6 | |||
| ST3001 | Operational Research - I | 2 | 30L | o | x | o | x | o | x |
| ST3002 | Regression Analysis - I | 2 | 30P | o | x | o | x | o | x |
| ST3003 | Marketing Research | 2 | 30L | o | o | o | o | o | o |
| Sem II | |||||||||
| ST3004 | Time Series and Forecasting | 2 | 30L | o | x | o | x | o | x |
| ST3005 | Operational Research - II | 2 | 30L | o | o | o | o | o | o |
| ST3067 | Statistical Data Management II | 2 | 30L | o | o | o | o | o | o |
Note:
- Students must select core courses (x) from at least 3 subjects out of the 4 subjects avilable within each steam.
- AM core courses are compulsory for all students.
- Abbreviations : x - core courses, o - electives, L - lectures, P - practicals, C - credits
Combinations
- P1 - Physics,Chemistry, Applied Math., Computer Science
- P2 - Physics, Applied Math., Statistics, Computer Science
- P3 - Physics, Applied Math., Pure Math., Computer Science
- P4 - Chemistry, Applied Math., Statistics, Computer Science
- P5 - Chemistry, Applied Math., Pure Math., Computer Science
- P6 - Applied Math., Statistics, Pure Math., Computer Science
ST 3001 : Operational Research I (30L, 2C)
Syllabus:
Introduction to Operational research, Mind expanding problems, Linear programming:
Problems and solution techniques, Special situations, Duality theory: Theorems,
Primal and Dual problems, solutions and their relationships, Sensitivity analysis/Post
optimality analysis, Discussion of possible changes with respect to the original problem,
Integer programming and solution techniques, Zero-one programming and solution
techniques, Transportation models, Assignment models and their solution techniques.
Evaluation Criteria: End-of-semester examination and assignments
Suggested Readings:
Operational Research an Introduction (Hamdy A. Taha), Operational research (Harvey M. Wagner)
ST 3002 : Regression Analysis I (30L, 2C)
Dependencies: ST 1004 and ST 2004
Syllabus:
Simple Linear Regression: Introduction, Correlation, Uses of Regression, Simple Linear Regression model,
Parameter estimation, Inferences about the model, Prediction, Coefficient of Determination, Hazards
in the use of Regression, Regression through the origin. Model Adequacy: Residuals, Outliers, Lack of
fit, Transformations, Weighted Least Squares. Multiple Linear Regression: Multiple Linear Regression
model, Parameter estimation, Inferences about the model, Prediction, Model adequacy.
Evaluation Criteria: End-of-semester examination and assignments
Suggested Readings:
Introduction to linear regression analysis (Montgometry, D.C. Peak, Elizabeth A), Applied Regression
Analysis (Draper & Smith), Statistical Methods in Agricultural & Experimental Biology (Mead & Curnow),
Linear Regression Analysis (Scber), Applied Linear Regression (Sanford Weisberg)
ST 3003 : Marketing Research (30L, 2C)
Syllabus:
Introduction, The Marketing Research Process, Defining the problem with exploratory research,
Survey research: Methods of communication with respondents, Test marketing,
Measurements and Attitude scaling, Questionnaire design, Sampling procedures, Data analysis,
report writing and presentation: Stochastic models of brand choice, Applications of General
Linear Models in marketing, Conjoint analysis, Correspondence analysis, Advertising media models,
Marketing response models.
Evaluation Criteria: End-of-semester examination and assignments
Suggested Readings:
Marketing Research (D.R. Lehmann, S. Gupta, J.H. Steckel), Marketing Research, (Melvin Crask,
Richard J. Fox, Roy Stout), Marketing Research (David A. Aakar)
ST 3004 : Time Series and Forecasting (30L, 2C)
Syllabus:
Introduction: Areas of applicaton, Objectives of time series analysis, Componenet of time series,
Descriptive analysis. Distributional properties: Independence, Autocorrelation, Stationary.
Probability models to time series: Random walk, Autoregressive model. Moving Average model,
mixed models, parameter estimation, Diagnostics. Forecasting: Optimal forecasts, Forecasts for
ARMA models, Exponential Smoothing forecasting method.
Evaluation Criteria: End-of-semester examination and assignments
Suggested Readings:
Marketing Research (D.R. Lehmann, S. Gupta, J.H. Steckel), Marketing Research, (Melvin Crask,
Richard J. Fox, Roy Stout), Marketing Research (David A. Aakar)
ST 3005 : Operational Research II (30L, 2C)
Dependencies: ST 3001
Syllabus:
Network models, Minimal spanning tree, shortest path problems, Project planning and evaluation
techniques, and Deterministic inventory models with shortages and without shortages, Queuing models,
Different queuing systems and disciplines, Simulation applications.
Evaluation Criteria: End-of-semester examination and assignments
Suggested Readings:
Operational Research an Introduction (Hamdy A. Taha), Operational research (Harvey M. Wagner)
ST 3067 : Quality Control (30L, 2C)
Syllabus:
Sampling plans of attribute type; OC curve scheme, Dodge and Romig approach, Decision theory approach,
Double sampling plans, Sampling inspection by variables, Sequential sampling plans, Control charts;
Variable type control charts, Attribute type control charts.
Evaluation Criteria: Examinations and assignments
Suggested Readings:
Statistical Quality Control (Mahajan, M), Statistical Quality Control, (Gupta, R.C.), Quality Control
and Industrial Statistics (Duncan, A.J.)