COURSE UNIT TITLE

: COMPUTER PROGRAMMING II

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
BIL 3120 COMPUTER PROGRAMMING II ELECTIVE 3 0 0 5

Offered By

Statistics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR SEDAT ÇAPAR

Offered to

Statistics
Statistics(Evening)

Course Objective

This course provides students who have basic knowledge about algorithm development and computer-oriented problem solving methodologies, to application development and structured programming concepts and design techniques.

Learning Outcomes of the Course Unit

1   Describing the syntax of the programming language and Using control structures,,
2   Developing function and procedure,
3   Designing user interface with application developing environment,
4   Using miscellaneous components for application development,
5   Developing applications for essential statistical methods.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Object oriented programming, Delphi IDE
2 Forms and basic components, interface design
3 Properties of components and events
4 Data types, statements
5 Control structures
6 Loops
7 Programming practices with basic components
8 Practice + Midterm exam
9 Programming practices with basic components
10 Subprograms, procedures
11 Subprograms, functions
12 Graphic functions and components
13 File operations
14 Application development for statistical methods

Recomended or Required Reading

Textbook(s):
Statistics and Machine Learning in Python, Edouard Duchesnay, Tommy Löfstedt, 2018
Supplementary Book(s):
Think Stats: Exploratory Data Analysis in Python, Allen B. Downey, 2014, Green Tea Press

Planned Learning Activities and Teaching Methods

The course is taught in a lecture, class presentation and discussion format. Besides the taught lecture, group presentations are to be prepared by the groups assigned and presented in a discussion session. In some weeks of the course, results of the homework given previously are discussed.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 VZ Vize
2 FN Final
3 BNS BNS VZ * 0.40 + FN * 0.60
4 BUT Bütünleme Notu
5 BBN Bütünleme Sonu Başarı Notu VZ * 0.40 + BUT * 0.60


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

If needed, other assessment methods can be added to the table given below.

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

sedat.capar@deu.edu.tr

Office Hours

Will be announced

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Tutorials 14 2 28
Preparations before/after weekly lectures 14 1 14
Preparing assignments 1 25 25
Preparation for final exam 1 15 15
Preparing assignments 0 0 0
Final 1 2 2
Project Assignment 1 2 2
TOTAL WORKLOAD (hours) 114

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14
LO.155
LO.255
LO.355
LO.455
LO.555