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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
BSO 313DATA STRUCTURES AND ALGORITHMS3 + 03rd Semester5

COURSE DESCRIPTION
Course Level Associate's Degree
Course Type Elective
Course Objective 1.Adapt data models. 2. Determine list and linked list data models. 3. Use tree data model. 4. Use stack and queue data models. 5. Prepeare sorting and searching algorithms. 6. Analyse systems using graphs.
Course Content Algorithm Description Language, Arrays, Stacks and Queues, Linked Lists, Trees, Searching and Sorting, Data Set Structures, Graphs
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Detects configuration of data models/structures in computer systems.
2Uses algorithm languages.
3Determines list/linked list algorithms.
4Correlates stack/queue structure concepts/algorithms.
5Correlates the tree data model concepts/algorithms.
6Correlates sorting/searching concepts/algorithms.
7Determines data set structures/organization techniques.
8Resolves graph structures.

COURSE'S CONTRIBUTION TO PROGRAM
Data not found.

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14456
Hours for off-the-classroom study (Pre-study, practice)14342
Assignments2918
Mid-terms166
Final examination188
Total Work Load

ECTS Credit of the Course






130

5
COURSE DETAILS
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes