1. FIRST CYCLE - BACHELOR'S DEGREE
  2. FACULTY OF EDUCATION
  3. COMPUTER AND INSTRUCTIONAL TECHNOLOGIES EDUCATION DEPARTMENT
  4. 135 COMPUTER AND INSTRUCTIONAL TECHNOLOGIES EDUCATION
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
Print

COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
BTO 1002ALGORITHM DESIGN AND DEVELOPMENT2 + 22nd Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Compulsory
Course Objective The aim of the course is to teach how to design algorithms for various applications.
Course Content The importance of algorithms in problem solving and programming, methods for algorithm design, flowcharts and their working principles, visualization of algorithms and flowcharts, input/output concepts, basic data types, constants and variables, operators and operation priority, decision structures, loops, functions, applicability of different algorithms in problem solving, sorting and searching algorithms, examples of problem solving and algorithm design, block-based and text-based programming environments.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Realize the importance of algorithms in problem solving.
2Comprehend the definitions used in algorithms.
3Comprehend the syntax rules in algorithms.
4Recognize the operators used in algorithms.
5Recognize and use flowchart symbols correctly.
6Comprehend basic data types and their application areas.
7Design sorting algorithms.
8Design searching algorithms.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13PO 14PO 15PO 16PO 17
LO 001 45          5  5
LO 002 44          4  4
LO 003 44          4  4
LO 004 55          5  5
LO 005 44          4  4
LO 006 55          5  5
LO 007 55          5  5
LO 008 55          5  5
Sub Total 3637          37  37
Contribution05500000000005005

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14456
Mid-terms11010
Final examination12424
Presentation / Seminar Preparation14040
Total Work Load

ECTS Credit of the Course





130

5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Spring1ESRA YECAN
Details 2022-2023 Spring1ESRA YECAN
Details 2021-2022 Spring1ESRA YECAN
Details 2020-2021 Spring1ESRA YECAN
Details 2019-2020 Spring1ESRA YECAN
Details 2018-2019 Spring1ESRA YECAN


Print

Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
BTO 1002 ALGORITHM DESIGN AND DEVELOPMENT 2 + 2 1 Turkish 2023-2024 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Asts. Prof. Dr. ESRA YECAN eyecan@pau.edu.tr EGT A0304 %70
Goals The aim of the course is to teach how to design algorithms for various applications.
Content The importance of algorithms in problem solving and programming, methods for algorithm design, flowcharts and their working principles, visualization of algorithms and flowcharts, input/output concepts, basic data types, constants and variables, operators and operation priority, decision structures, loops, functions, applicability of different algorithms in problem solving, sorting and searching algorithms, examples of problem solving and algorithm design, block-based and text-based programming environments.
Topics
WeeksTopics
1 Introduction to Algorithms
2 Visualisation of Algorithms, Flowcharts
3 Operators and Operation Priorities
4 Data Types
5 Constants and Variables
6 Input-Output
7 Conditional Structures and Loops
8 Functions
9 Use of Different Algorithms in Problem Solving
10 Searching Algorithms
11 Sorting Algorithms
12 Problem Solving and Algorithm Applications
13 Problem Solving and Algorithm Applications
14 Problem Solving and Algorithm Applications
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes