BDT121 Introducing to Algorithm

3 ECTS - 2-0 Duration (T+A)- 1. Semester- 2 National Credit

Information

Unit KARAİSALI VOCATIONAL SCHOOL
Code BDT121
Name Introducing to Algorithm
Term 2019-2020 Academic Year
Semester 1. Semester
Duration (T+A) 2-0 (T-A) (17 Week)
ECTS 3 ECTS
National Credit 2 National Credit
Teaching Language Türkçe
Level Ön Lisans Dersi
Type Normal
Label E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Doç. Dr. BEKİR YİĞİT YILDIZ
Course Instructor Öğr. Gör. İNAN ÜNLÜ (Güz) (A Group) (Ins. in Charge)


Course Goal / Objective

The students are informed about developing the problem solving ability, generating algorithm and flow diagram drawing.

Course Content

Algorithm, flow diagram, variables and constants, input-output operations, decision structures, loop controls are explained.

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 He understands the problem.
LO02 Determines the input output of the problem.
LO03 Defines the constants and variables to use.
LO04 Creates an algorithm for problem solving.
LO05 Draws flow diagram.
LO06 It tries to analyze the problem in different ways.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Has sufficient theoretical knowledge in Computer Aided Design and Animation. 0
PLO02 - Students will be able to use theoretical and practical knowledge gained in Computer Aided Design and Animation. 1
PLO03 - Performs necessary design and laboratory studies in Computer Aided Design and Animation. 0
PLO04 - Use office programs and professional computer programs. 2
PLO05 - Knows the concepts of design and animation. Have knowledge about basic design and animation and make basic applications. 0
PLO06 - Know animation methods and make animations. 1
PLO07 - Knows two-dimensional design methods and can make designs. 0
PLO08 - Knows three-dimensional design methods and can make designs. 0
PLO09 - Knows the basics of Web design, can design Web pages. 0
PLO10 - Have basic theoretical knowledge about modeling techniques and use practical knowledge. 0
PLO11 - Have basic theoretical knowledge about Internet Technology and design dynamic web pages. 0
PLO12 - Have basic theoretical knowledge about Image Processing Techniques and use practical knowledge. 0
PLO13 - The organization acts in accordance with Business and Social Ethical Values, 1
PLO14 - Have the ability to analyze, interpret and evaluate information related to the field 0
PLO15 - Demonstrates Understanding of Continuity of Learning Requirement, 3
PLO16 - Possess theoretical and practical knowledge supported by textbooks with updated information, practice equipments and other resource on basic level based on qualifications gained at secondary education level. 0
PLO17 - Gain the skills to use basic level theoretical and practical knowledge acquired within the field in the same field of a higher education level or in a field of same level.2) - Interpret and evaluate data, define problems, do analysis, produce solutions based on proof with using basic level knowledge and practices gained within the field. 4
PLO18 - Conduct studies at basic level within the field independently.2) - Take responsibility as a team member in order to solve unexpected complex problems faced in the implementations within the field.3) - Conduct activities towards the development of subordinates within a project. 4
PLO19 - Evaluate the acquired knowledge and skills at basic level within the field with a critical approach, determine and respond to learning needs.2) - Direct the education received to a higher education level in the same field or to an occupation in the same level.3) - Gain awareness of lifelong learning. 1


Week Plan

Week Topic Preparation Methods
1 Introduction of the course and general information there is no preparation
2 Understanding and defining the problem there is no preparation
3 Input and output of the problem there is no preparation
4 Analytical solution of the problem there is no preparation
5 Algorithm Concept there is no preparation
6 Algorithm types there is no preparation
7 Problem solving and algorithm there is no preparation
8 Mid-Term Exam Mid-Term Exam
9 Define data types to use there is no preparation
10 Fixed and variable concepts there is no preparation
11 Introduction to Flow Diagram there is no preparation
12 Decision structures there is no preparation
13 Programming Tools, Variable and Fixed there is no preparation
14 Sample Applications there is no preparation
15 Generalities again there is no preparation
16 Term Exams Term Exams
17 Term Exams Term Exams


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 2 28
Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 6 6
Final Exam 1 16 16
Total Workload (Hour) 78
Total Workload / 25 (h) 3,12
ECTS 3 ECTS

Update Time: 04.05.2025 11:29