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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS BIL 1006 LINEAR ALGEBRA AND ANALYTIC GEOMETRY COMPULSORY 4 0 0 6

Offered By

Computer Science

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR MURAT ERŞEN BERBERLER

Offered to

Computer Science

Course Objective

To teach linear algebra and analytic geometry concepts to solve computer science problems.

Learning Outcomes of the Course Unit

1   Have a knowledge of basic concepts of linear algebra and analytic geometry. 2   Be able to solve problems of linear algebra and analytic geometry. 3   Be able to solve computer science problems by using linear algebra and analytic geometry concepts. 4   Be able to design efficient algorithms by using linear algebra and analytic geometry concepts. 5   Be able to solve problems of different type of disciplines by using concepts of linear algebra and analytic geometry.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Linear equations Systems of linear equations 2 Matrices Operations of matrices 3 Solving systems of linear equations 4 Determinants Quiz 1 5 Real vector spaces 6 Subspaces 7 Inner product spaces 8 Mid-Term Exam 9 Complex numbers 10 Linear transformations and matrices 11 Eigenvalues and eigenvectors 12 Applications of eigenvalues and eigenvectors Quiz 2 13 Differential equations 14 Three-dimensional geometry Applications of linear algebra

Recomended or Required Reading

Textbook(s): Elementary Linear Algebra with Applications, Bernard Kolman, David Hill, ISBN: 0132296543. Supplementary Book(s): Uygulamalı Lineer Cebir, Bernard Kolman, David Hill, ISBN: 975-8624-11-3.

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 MTE MIDTERM EXAM 2 QUZ QUIZ 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.30 + QUZ * 0.20 + FIN * 0.50 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + QUZ * 0.20 + RST * 0.50 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

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)

murat.berberler@deu.edu.tr

Office Hours

Will be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 4 52 Preparations before/after weekly lectures 12 4 48 Preparation for midterm exam 1 10 10 Preparation for final exam 1 20 20 Preparation for quiz etc. 2 8 16 Final 1 2 2 Midterm 1 2 2 Quiz etc. 2 1 2 TOTAL WORKLOAD (hours) 152

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 LO.1 3 LO.2 5 5 LO.3 3 5 5 LO.4 5 5 LO.5 5 5