COURSE UNIT TITLE

: TECHNOLOGICAL APPLICATIONS WITH SAS PROGRAMMING

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
BMT 5039 TECHNOLOGICAL APPLICATIONS WITH SAS PROGRAMMING ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

ASSOCIATE PROFESSOR EMEL KURUOĞLU KANDEMIR

Offered to

Industrial Ph.D. Program In Advanced Biomedical Technologies
Biomedical Tehnologies (English)

Course Objective

This course aims to provide the students with an overview of the SAS (Statistical Analysis System) programming and its applications for biomedical data. It also aims to managing data frames, analyzing data, simulating data models and reporting and profiling SAS codes.

Learning Outcomes of the Course Unit

1   Understanding both theoretical and practical knowledge of SAS programming and data science.
2   Understanding of the basic codding techniques and details.
3   Understanding of the basic code making and application for mathematical functions, managing data frames and making control structures.
4   Understanding of advanced applied tools used in SAS programming.
5   Having ability to develop program and analyzing biomedical data in SAS.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction, History and Overview of SAS and Data Science.
2 SAS programming of the basic codding techniques and details.
3 Getting Data in and out of SAS and Subsetting SAS Objects and Vectorized Operations.
4 Managing Data Frames, Dates and Times in SAS.
5 Control Structures in SAS.
6 Loop Functions and Debugging.
7 Presentation of Project 1 Decision making models
8 Midterm exam
9 Profiling SAS codes.
10 Biomedical Data Analysis and interpreting the results.
11 Biomedical Data Analysis Case Study - EEG Data Analysis
12 Biomedical Data Analysis Case Study - Decision Making Models
13 Simulating and interpreting the data. Decision Support Technologies
14 Presentation of Project 2 MRI Data Analysis

Recomended or Required Reading

Textbook(s): Delwiche,L.D. and Slaughter, S.J., The Little SAS Book, A Primer; Fifth Edition; The SAS Institute, 2012

Supplementary Book(s):

1) Ron P. Cody, Jeffrey K. Smith, Applied Statistics and the SAS Programming Language, 5th edition, 2005.
2) Marge Scerbo, Craig Dickstein, and Alan Wilson, Health Care Data and the SAS System, ISBN: 1-58025-865-4, 2001.
Recent literature papers.

Planned Learning Activities and Teaching Methods

The course is taught in a lecture, class presentation and discussion format. Besides the taught lecture, group presentations are to be prepared by the groups assigned and presented in a discussion session. In some weeks of the course, results of the homework given previously are discussed.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 PRJ PROJECT
2 MTE MIDTERM EXAM
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE PRJ * 0.30 + MTE * 0.30 + FIN * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) PRJ * 0.30 + MTE * 0.30 + RST * 0.40


Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

emel.kuruoglu@deu.edu.tr

Office Hours

Will be announced

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 13 4 52
Preparation for midterm exam 1 20 20
Preparation for final exam 1 20 20
Preparing assignments 2 20 40
Preparing presentations 2 15 30
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 205

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.1
LO.2
LO.3
LO.4
LO.5

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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