Syllabus Application
MATH 306
Statistical Modelling
Faculty
Faculty of Engineering and Natural Sciences
Semester
Summer 2025-2026
Course
MATH 306 -
Statistical Modelling
Time/Place
Time
Week Day
Place
Date
08:40-11:30
Mon
FASS-G062
Jul 6-Aug 21, 2026
08:40-11:30
Wed
FASS-G062
Jul 6-Aug 21, 2026
Level of course
Undergraduate
Course Credits
SU Credit:3, ECTS:6, Basic:6
Prerequisites
MATH 203
Corequisites
MATH 306R
Course Type
Lecture
Instructor(s) Information
Melike Efe
- Email: melike.efe1@sabanciuniv.edu
Course Information
Catalog Course Description
Statistical inference; estimation, confidence intervals, hypothesis testing; analysis of variance; goodness of fit tests; regression and correlation analysis; Bayesian methods; introduction to design of experiments; use of statistical software.
Learning Outcomes:
| 1. | Identify special sampling distributions |
|---|---|
| 2. | Apply the techniques of point estimation for parameters of interest and assess the quality of these estimators |
| 3. | Construct confidence intervals of parameters of interest |
| 4. | Apply the classical approach to hypothesis testing |
| 5. | Apply and implement special statistical tests |
| 6. | Fit and interpret linear regression models. |
Course Objective
- To introduce the basic techniques of point and interval estimation
- To teach how to design and test hypotheses
- To teach the principles of regression analysis
-
- To teach how to design and test hypotheses
- To teach the principles of regression analysis