ISB343 Computer Programming 3

6 ECTS - 2-2 Duration (T+A)- 5. Semester- 3 National Credit

Information

Unit FACULTY OF SCIENCE AND LETTERS
STATISTICS PR.
Code ISB343
Name Computer Programming 3
Term 2018-2019 Academic Year
Semester 5. Semester
Duration (T+A) 2-2 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Label E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Öğr. Gör. ERKAN KAYNAK
Course Instructor Öğr. Gör. ERKAN KAYNAK (Güz) (A Group) (Ins. in Charge)


Course Goal / Objective

Writing windows programs with visual Studio.

Course Content

Visual C Sharp language and form applications.

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Studens are going to able to use Visual Studio IDE.
LO02 Students are going to able to create a new windows forms applications.
LO03 Students will learn Controls (objects) and Events, Properties, Methods of these objects.
LO04 Students will learn and use Form control.
LO05 Students will learn how to use Label and Button controls.
LO06 Students will learn how to use TextBox, ListBox and DropdownList controls.
LO07 Students will learn how to use Threads and write MultiThrread programs.
LO08 Students are going to able to make installation packages for their applications..


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics 0
PLO02 - Emphasize the importance of Statistics in life 0
PLO03 - Define basic principles and concepts in the field of Law and Economics 0
PLO04 - Produce numeric and statistical solutions in order to overcome the problems 3
PLO05 - Use proper methods and techniques to gather and/or to arrange the data 3
PLO06 - Utilize computer systems and softwares 5
PLO07 - Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events 3
PLO08 - Apply the statistical analyze methods 2
PLO09 - Make statistical inference(estimation, hypothesis tests etc.) 2
PLO10 - Generate solutions for the problems in other disciplines by using statistical techniques 2
PLO11 - Discover the visual, database and web programming techniques and posses the ability of writing programme 5
PLO12 - Construct a model and analyze it by using statistical packages 0
PLO13 - Distinguish the difference between the statistical methods 0
PLO14 - Be aware of the interaction between the disciplines related to statistics 1
PLO15 - Make oral and visual presentation for the results of statistical methods 3
PLO16 - Have capability on effective and productive work in a group and individually 3
PLO17 - Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs 3
PLO18 - Develop scientific and ethical values in the fields of statistics-and scientific data collection 3


Week Plan

Week Topic Preparation Methods
1 Visual Studio IDE Literature Resarch
2 Introduction to Visual programming and forms. Literature Resarch
3 Toolbox and general properties of tools. Literature Resarch
4 Using Labels and buttons Literature Resarch
5 Using TextBoxes Literature Resarch
6 Checkboxes and Option Boxes Literature Resarch
7 Listboxes and DropDown Lists Literature Resarch
8 Mid-Term Exam Review
9 Using Timer Literature Resarch
10 Image files and using ImageBoxes Literature Resarch
11 Threads and Multithreading programming - I Literature Resarch
12 Threads and Multithreading programming - II Literature Resarch
13 Desinging an application and developing a sample project - I Literature Resarch
14 Desinging an application and developing a sample project - II Literature Resarch
15 Making installation package Literature Resarch
16 Term Exams Literature Resarch
17 Term Exams Review


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 50 20
1. Project / Design 50 20
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 4 56
Out of Class Study (Preliminary Work, Practice) 14 4 56
Assesment Related Works
Homeworks, Projects, Others 1 2 2
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 28 28
Total Workload (Hour) 154
Total Workload / 25 (h) 6,16
ECTS 6 ECTS

Update Time: 29.04.2025 02:18