Third Year Course Units

Physical Science

Course No.	Course Module	Credits	Hours	Combination
Sem I				P1	P2	P3	P4	P5	P6
ST3003	Marketing Research	2	30L	o	o	o	o	o	o
ST3006	Regression Analysis	2	30L	o	x	o	x	o	x
ST3007	Operational Research	3	45L	o	x	o	x	o	x
Sem II
ST3004	Time Series and Forecasting	2	30L	o	x	o	x	o	x
ST3067	Quality Control	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 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 3006 : Regression Analysis (30L, 2C)

Dependencies: ST1004, ST2004

Syllabus: Introduction to regression, Correlation, Uses of regression, Simple linear regression model, Parameter estimation, inferences about the model, model diagnostics and prediction, Multiple regressions, Qualitative variables as predictors, Model building

Evaluation Criteria: End-of-semester examination and assignments

Suggested Readings: Applied Regression Analysis (Draper & Smith), Applied Linear Regression (Sanford Weisberg)

ST 3007 : Operational Research (45L, 3C)

Dependencies: AM 2003, AM 2004

Syllabus: Integer programming and solution techniques, Zero-one programming and solution techniques, Transportation models, Assignment models and their solution techniques. Project planning and evaluation techniques, Deterministic inventory models with shortages and without shortages, Queuing models, Different queuing systems and disciplines.

Evaluation Criteria: End-of-semester examination and assignments

Suggested Readings: Operational Research an Introduction (Hamdy A. Taha), Operational research (Harvey M. Wagner)

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: Forecasting Methods and Applications (Makridakis, S. Weelwright, S. C. and Hyndman, R. J.), The analysis of Time Series: An Introduction (Chatfield, C), Forecasting and Control (Box, G. E. P., Jenkins, G. M. and Reinsell)

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.)

Physical Science