BAHÇEŞEHİR UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| FILM AND TELEVISION | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
Course Introduction and Application Information
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| EEE5022 | Applied Statistics | Spring | 3 | 0 | 3 | 9 |
| This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Basic information
| Language of instruction: | English |
| Type of course: | Non-Departmental Elective |
| Course Level: | Bachelor’s Degree (First Cycle) |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Assoc. Prof. SAEID KARAMZADEH |
| Course Lecturer(s): |
Prof. Dr. SELİM ZAİM |
| Recommended Optional Program Components: | none.......... |
| Course Objectives: | The course introduces fundamental topics in statistics and implements its applications to industrial, medical, financial, energy and similar type very large-size datasets to infer meaninful statistical results. The course is for gradute students with no significant background on this subject. Implementations will be performed on the open source statistical software R. Introduction to R programming will be given. |
Learning Outcomes
|
The students who have succeeded in this course; I. Identify basic terms in statistics. II. Gain ability to use and apply basic methods and programming tools used in statistics over various engineering disciplines. III. Ability to explore data and its relationships. IV. Ability to perform hypothesis testing for statistical problems. V. Perform statistical inference over statistical data. |
Course Content
| Topics include: Introduction to R programming, Sampling, Data Exploration, Exploring Relationships, Probability, Random Variables and Probability Distributions, Estimation, Hypothesis Testing, Statistical Inference, Multiple Testing Correction, ANOVA, Analysis of Categorical Variables, Regression Analysis, Bayesian Analysis, Survival Analysis, Over Representation Analysis, Meta Analysis. |
Weekly Detailed Course Contents
| Week | Subject | Related Preparation |
| 1) | Introduction | |
| 2) | Introduction to R statistical programming | |
| 3) | Term Project | |
| 4) | Data Exploration with R | |
| 5) | Visualizing and Summarizing Relationships | |
| 6) | Probability and Random Variables | |
| 7) | Estimation in datasets | |
| 8) | Hypothesis Testing for various engineering applications | |
| 9) | Statistical Inference over various large datasets | |
| 10) | ANOVA | |
| 11) | Analysis of Categorical Variables | |
| 12) | Regression and Bayesian Analysis | |
| 13) | Survival analysis | |
| 14) | Over Representation Analysis |
Sources
| Course Notes / Textbooks: | Principles of Applied Statistics (Paperback), by D. R. Cox, Christl A. Donnelly 2011 ISBN-10: 1107644453 | ISBN-13: 978-1107644458 |
| References: | Introductory Statistics with R Peter Dalgaard 2011 ISBN 978-0-387-79053-4 |
Evaluation System
| Semester Requirements | Number of Activities | Level of Contribution |
| Project | 1 | % 30 |
| Midterms | 1 | % 30 |
| Final | 1 | % 40 |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 30 | |
| PERCENTAGE OF FINAL WORK | % 70 | |
| Total | % 100 | |
ECTS / Workload Table
| Activities | Number of Activities | Workload |
| Course Hours | 14 | 42 |
| Study Hours Out of Class | 14 | 42 |
| Project | 1 | 30 |
| Midterms | 1 | 40 |
| Final | 1 | 50 |
| Total Workload | 204 | |
Contribution of Learning Outcomes to Programme Outcomes
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Being familiar to the main concepts and methods of the social sciences and the fine arts devoted to understanding the world and the society | 4 |
| 2) | Having comprehensive knowledge regarding different media and branches of art | 3 |
| 3) | Knowing the historical background of audio-visual moving images in the world and in Turkey and keeping pace with the new developments in the area | 1 |
| 4) | Having a good command of the language and the aesthetics of audio-visual moving images in the world and in Turkey | 1 |
| 5) | Being able to create a narrative that could be used in a fiction or a non-fiction audio-visual moving image product | 2 |
| 6) | Being able to write a script ready to be shot | 2 |
| 7) | Having the skills to produce the photoboard of a script in hand and to shoot the film using the camera, the lights and other necessary equipment | |
| 8) | Being able to transfer the footage of a film to the digital medium, to edit and do other post-production operations | |
| 9) | Being able to create a documentary audio visual moving image from the preliminary sketch stage to shooting, editing and post-production stages | |
| 10) | Being able to produce an audio visual moving image for television and audio products for radio from preliminary stages through shooting and editing to the post-production stage | |
| 11) | Being culturally and theoretically equipped to make sense of an audio-visual moving image, to approach it critically with regard to its language and narration and being able to express his/her approach in black and white | 3 |
| 12) | Having ethical values and a sense of social responsibility | 5 |