ISB344 Computer Programming 4

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

Information

Unit FACULTY OF SCIENCE AND LETTERS
STATISTICS PR.
Code ISB344
Name Computer Programming 4
Term 2019-2020 Academic Year
Semester 6. 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 (Bahar) (A Group) (Ins. in Charge)


Course Goal / Objective

To teach developing web applications and web sites using ASP.NET.

Course Content

Introduction to Web Applications and devepoing web applicaitons using ASP.NET.

Course Precondition

Yok

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Students will have enough knowladge about web applications.
LO02 Students will able to develop a web application using ASP.NET framework.
LO03 Studens will able to use ADO.NET Entity Framework to manage data in ASP.NET web applications.
LO04 Students able to use HTML.
LO05 Students able to use ASP.NET server controls.
LO06 Students will learn about MASTER PAGES and will able to use MASTER PAGES on their web applications.
LO07 Students will have enough knowledge about ADO.NET Entity Framework and how to use it.
LO08 Studens will have enought knowledge about JavaScript and AJAX and how to use them.


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 2
PLO05 - Use proper methods and techniques to gather and/or to arrange the data 2
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 2
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 1
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 2
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 Introduction to Web Development Literature Research
2 Using common HTML tags Literature Research
3 Introduction to ASP.NET Web Forms Web Application Literature Research
4 Server Controls in Web Forms Literature Research
5 Master Pages Literature Research
6 User Controls Literature Research
7 Validators in Web Forms Literature Research
8 Mid-Term Exam Review
9 Using ADO.NET Entity Framework Literature Research
10 Displaying Data in Web Forms - I Literature Research
11 Displaying Data in Web Forms - II Literature Research
12 Dynamic Data in Web Forms- I Literature Research
13 Dynamic Data in Web Forms- II Literature Research
14 Client - Side Programming - Javascript Literature Research
15 Clien Site Programming - AJAX Extensions Literature Research
16 Term Exams Literature Research
17 Term Exams Review


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 20
General Assessment
Midterm / Year Total 100 20
1. Final Exam - 80
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