Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
İST208ALGORITHM DESIGN WITH STATISTICAL APPLICATIONSCompulsory245
Level of Course Unit
First Cycle
Objectives of the Course
The aim of this course is to teach students algorithm development methods and to gain the ability of using the knowledge obtained in algorithm design for statistical experiments and problems.
Name of Lecturer(s)
Öğr. Grv. Dr. Aslı KILIÇ
Learning Outcomes
1Ability to create analytical and algorithmic thinking to problem solving
2To learn create algorithms through flowcharts and pseudocode
3To design efficient algorithms for the solution of different problems
Mode of Delivery
Face to Face
Prerequisites and co-requisities
Recommended Optional Programme Components
Course Contents
Basic concepts and structures related to the algorithm design, knowledge about flowcharts, conditional statements in flowcharts, loops, SPARKS algorithm language, conditional statements in SPARKS algorithm language, loops, array and matrix applications, creating algorithmic solutions of various statistical experiments and problems.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
0Basic concepts int algorithm and its design, the properties of algorithm.
1Aritmetical and logical operators, flowchart symbols
2The concept of variable, transfer and assignment operations, increase operations
3Flowcharts- Conditional statements
4Flowcharts- The usage of counters
5Flowcharts- Loops
6Flowcharts- Nested loops
7Midterm Exam
8Introduction to SPARKS algorithm language
9Conditional statements
10FOR-DO , WHILE-DO ve LOOP-UNTIL conditional statements
11Array applications
12Matrix applications
13Creating the algorithms of various statistical experiments
14Creating the algorithms of various statistical experiments
15Final Exam
Recommended or Required Reading
1. Programlamaya Giriş ve Algoritmalar, Çelikkol, S., 2004, 5. Baskı, Dilara Yayınevi & Matbaacılık. 2. Algoritma Tasarımı ve Programlama, Kaşlı, A., 1999, E.Ü. Bilgisayar Mühendisliği 3. Algoritmayı Anlamak, Eker, M., 2011, 4. Baskı, Nirvana Yayınları
Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
SUM0
Language of Instruction
Turkish
Work Placement(s)
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination122
Final Examination122
Attending Lectures14342
Problem Solving14228
Self Study14228
Individual Study for Mid term Examination818
Individual Study for Final Examination818
TOTAL WORKLOAD (hours)118
Contribution of Learning Outcomes to Programme Outcomes
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LO1  3      5    5         
LO2 55      5    5         
LO3                        
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
Ege University, Bornova - İzmir / TURKEY • Phone: +90 232 311 10 10 • e-mail: intrec@mail.ege.edu.tr