COURSE UNIT TITLE

: THEORETICAL ASPECTS OF ALGORITHMS DESIGN AND ANALYSIS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
CSC 5002 THEORETICAL ASPECTS OF ALGORITHMS DESIGN AND ANALYSIS ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR EFENDI NASIBOĞLU

Offered to

Computer Science
Ph.D. in Computer Science

Course Objective

The objectives of the course are to prove the correctness of simple algorithms, understand asymptotic notation, analyze simple and advanced algorithms and learn a variety of useful algorithms.

Learning Outcomes of the Course Unit

1   Have a good understanding of the role of algorithms in computing
2   Have a good understanding of complexity of algorithms.
3   Have a good understanding of elementary graph algorithms.
4   Have a good understanding of elementary matrix algorithms.
5   Have a good understanding of approximate algorithms.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Role of algorithms in calculations
2 Complexity of algorithms
3 Growth of functions
4 Probability analysis and random processes
5 Advanced data structures. Trees. Stacks.
6 Graphs and their representations
7 Breadth-first search in graphs
8 Midterm exam
9 Depth-first search in graphs
10 Topological sort in graphs
11 Matrix operations
12 String operations
13 Approximate algorithms
14 Graph coverage problems

Recomended or Required Reading

Anany V. Levitin, Introduction to the Design and Analysis of Algorithms (2nd Edition) , Addison Wesley; 2 edition, 2006.
Jon Kleinberg, Eva Tardos, Algorithm Design , Addison Wesley, 2005.
Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Cliford Stein, Introduction to Algorithms , MIT Press, 2001.

Planned Learning Activities and Teaching Methods

The course is taught in a lecture, class presentation and discussion format.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 +ASG * 0.20 +FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.20 + RST * 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

If needed, other assessment methods can be added to the table given below.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

efendi.nasiboglu@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
0
0
0
Lectures 13 3 39
Preparation before/after weekly lectures 13 4 52
Preparation for Mid-term Exam 1 20 20
Preparation for Final Exam 1 30 30
Preparing Individual Assignments 6 8 48
Final 1 2 2
Mid-term 1 2 2
TOTAL WORKLOAD (hours) 193

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.152343
LO.252243
LO.352243
LO.452243
LO.552243

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

Copyright 2015 DEÜ. BİD

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