It is intended to perform in computer and accounting records.
Prerequisite(s)
-
Corequisite(s)
-
Special Requisite(s)
Beginner on Matlab Programme
Instructor(s)
Assist. Prof. Dr. Tayfun Kaynaş
Course Assistant(s)
-
Schedule
-
Office Hour(s)
Yrd. Doç. Dr. Hikmet Çağlar, Office 3A-09.
Teaching Methods and Techniques
-Lectures, demonstrations, question and answer, practice, problem solving, case studies, group work
Principle Sources
-Özkürkçüler M. ve Parlakkaya R., Bilgisayarlı Muhasebe, Nobel Yayınları, 1. Baskı, 2004, Ankara.
Other Sources
-
Course Schedules
Week
Contents
Learning Methods
1. Week
Introduction
Oral Presentation, Handout
2. Week
Matlab Introduction
Oral Presentation, Handout
3. Week
The commercial package Program Overview
Oral Presentation, Handout
4. Week
Inventory module
Oral Presentation, Matlab Application
5. Week
Current Module
Oral Presentation, Matlab Application
6. Week
Billing Module
Oral Presentation, Handout
7. Week
Billing Module
Oral Presentation, Matlab Application
8. Week
Midterm
Midterm
9. Week
Accounting Module
Oral Presentation, Handout
10. Week
Accounting Module
Oral Presentation, Handout
11. Week
Accounting Module
Oral Presentation, Matlab Application
12. Week
Reports Module
Oral Presentation, Handout
13. Week
Reports Module
Oral Presentation, Matlab Application
14. Week
Application
Matlab Application
15. Week
Final Exam
Final Exam
16. Week
Final Exam
Final Exam
17. Week
Final Exam
Final Exam
Assessments
Evaluation tools
Quantity
Weight(%)
Midterm(s)
1
40
Homework / Term Projects / Presentations
1
10
Final Exam
1
50
Program Outcomes
PO-1
Interpreting advanced theoretical and applied knowledge in Mathematics and Computer Science.
PO-2
Critiquing and evaluating data by implementing the acquired knowledge and skills in Mathematics and Computer Science.
PO-3
Recognizing, describing, and analyzing problems in Mathematics and Computer Science; producing solution proposals based on research and evidence.
PO-4
Understanding the operating logic of computer and recognizing computational-based thinking using mathematics as a discipline.
PO-5
Collaborating as a team-member, as well as individually, to produce solutions to problems in Mathematics and Computer Science.
PO-6
Communicating in a foreign language, and interpreting oral and written communicational abilities in Turkish.
PO-7
Using time effectively in inventing solutions by implementing analytical thinking.
PO-8
Understanding professional ethics and responsibilities.
PO-9
Having the ability to behave independently, to take initiative, and to be creative.
PO-10
Understanding the importance of lifelong learning and developing professional skills continuously.
PO-11
Using professional knowledge for the benefit of the society.
Learning Outcomes
LO-1
Students will learn multivariate statistical analysis with several data sets by using statistical softwares such as SPSS, Statistica, Systat, Minitab.
LO-2
Students will learn application of multivariate statistical methods in several applied sciences such as medicine, agriculture, economy, biology, sociology, education.
LO-3
Students will learn application of multivariate statistical methods with theoretical or real life data sets by using related statistical softwares.
LO-4
Students will learn principal component analysis and factor analysis.
LO-5
Students will learn Discriminant analysis, Cluster analysis, Multi-dimensional scaling analysis.
