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SECTION I: GENERAL INFORMATION ABOUT THE COURSE

Course Code Course Name Year Semester Theoretical Practical Credit ECTS
50011TATOZ-BLP0181 Programming Bases and Algorithms 1 Fall 2 1 3 5
Course Type : Compulsory
Cycle: Associate      TQF-HE:5. Master`s Degree      QF-EHEA:Short Cycle      EQF-LLL:5. Master`s Degree
Language of Instruction: Turkish
Prerequisities and Co-requisities: N/A
Mode of Delivery: Face to face
Name of Coordinator: Instructor BUKET DÖNMEZ
Dersin Öğretim Eleman(lar)ı:
Dersin Kategorisi: Field Specific

SECTION II: INTRODUCTION TO THE COURSE

Course Objectives & Content

Course Objectives: This course aims to enable the student to acquire competencies related to programming fundamentals and to be able to write programs.
Course Content: Algorithms and programming basics, loop, conditions, functions and variable types

Course Learning Outcomes (CLOs)

Course Learning Outcomes (CLOs) are those describing the knowledge, skills and competencies that students are expected to achieve upon successful completion of the course. In this context, Course Learning Outcomes defined for this course unit are as follows:
Knowledge (Described as Theoritical and/or Factual Knowledge.)
  1) Explains the basics of programming.
  2) Explains the basics of C, C ++, C # language.
Skills (Describe as Cognitive and/or Practical Skills.)
  1) Develops software with C, C ++, C # language.
Competences (Described as "Ability of the learner to apply knowledge and skills autonomously with responsibility", "Learning to learn"," Communication and social" and "Field specific" competences.)

Weekly Course Schedule

Week Subject
Materials Sharing *
Related Preparation Further Study
1) Algorithm definition, Algorithm basic properties Doç. Dr. Fahri Vatansever, Algoritma Geliştirme ve Programlamaya Giriş, Seçkin, 2017, September. Reading the related chapter and other resources to be obtained
2) Terms and operators used in algorithms Doç. Dr. Fahri Vatansever, Algoritma Geliştirme ve Programlamaya Giriş, Seçkin, 2017, September. Reading the related chapter and other resources to be obtained
3) Algorithm Development Doç. Dr. Fahri Vatansever, Algoritma Geliştirme ve Programlamaya Giriş, Seçkin, 2017, September. Reading the related chapter and other resources to be obtained
4) Forms used in flow diagram, flow diagram preparation Doç. Dr. Fahri Vatansever, Algoritma Geliştirme ve Programlamaya Giriş, Seçkin, 2017, September. Reading the related chapter and other resources to be obtained
5) Programming tools, Variables and constant Doç. Dr. Fahri Vatansever, Algoritma Geliştirme ve Programlamaya Giriş, Seçkin, 2017, September. Reading the related chapter and other resources to be obtained
6) Input-output operations, Operators Doç. Dr. Fahri Vatansever, Algoritma Geliştirme ve Programlamaya Giriş, Seçkin, 2017, September. Reading the related chapter and other resources to be obtained
7) Decision structures, Loop Controls Doç. Dr. Fahri Vatansever, Algoritma Geliştirme ve Programlamaya Giriş, Seçkin, 2017, September. Reading the related chapter and other resources to be obtained
8) Midterm
9) Loop checks Doç. Dr. Fahri Vatansever, Algoritma Geliştirme ve Programlamaya Giriş, Seçkin, 2017, September. Reading the related chapter and other resources to be obtained
10) One-dimensional arrays Doç. Dr. Fahri Vatansever, Algoritma Geliştirme ve Programlamaya Giriş, Seçkin, 2017, September. Reading the related chapter and other resources to be obtained
11) Multidimensional arrays Doç. Dr. Fahri Vatansever, Algoritma Geliştirme ve Programlamaya Giriş, Seçkin, 2017, September. Reading the related chapter and other resources to be obtained
12) Subprograms that do not return value Doç. Dr. Fahri Vatansever, Algoritma Geliştirme ve Programlamaya Giriş, Seçkin, 2017, September. Reading the related chapter and other resources to be obtained
13) Subprograms that return value Doç. Dr. Fahri Vatansever, Algoritma Geliştirme ve Programlamaya Giriş, Seçkin, 2017, September. Reading the related chapter and other resources to be obtained
14) Sequential files Doç. Dr. Fahri Vatansever, Algoritma Geliştirme ve Programlamaya Giriş, Seçkin, 2017, September. Reading the related chapter and other resources to be obtained
15) Random access files Doç. Dr. Fahri Vatansever, Algoritma Geliştirme ve Programlamaya Giriş, Seçkin, 2017, September. Reading the related chapter and other resources to be obtained
16) Final Exam
*These fields provides students with course materials for their pre- and further study before and after the course delivered.

Recommended or Required Reading & Other Learning Resources/Tools

Course Notes / Textbooks: Doç. Dr. Fahri Vatansever 2017; Algoritma Geliştirme ve Programlamaya Giriş, 13.Baskı, Seçkin Yayıncılık San. ve Tic. A.Ş.
References: Kamil Çamoğlu 2016; Algoritma, 4.Baskı, Kodlab Yayın Dağıtım Yazılım ve Eğitim Hiznetleri San. ve Tic. Ltd. Şti.
Robert Sedgewick, Kevin Wayne, Çeviri Editörü Doç. Dr. Şadi Evren Şeker 2018; Algoritmalar, 4.Basımdan Çeviri, Nobel Akademik Yayıncılık Eğitim Danışmanlık Tic. Ltd. Şti.
Muhammet Yorulmaz, Seher Yorulmaz 2016; Programlamayı C ile Öğreniyorum, 6.Baskı, Palme Yayınevi
Erhan Arı 2016; Örneklerle Algoritma ve C# Programlama, 3.Baskı, Seçkin Yayıncılık San. ve Tic. A.Ş.

Level of Contribution of the Course to PLOs

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Programme Learning Outcomes Contribution Level (from 1 to 5)
1) Defines the corporate cyber security rules and guidelines. 1
1) Acquires competency of analyzing and solving the problems. 5
1) Experiences all processes in business life. 1
1) Explains the basic, theoretical and practical information in the field of information security technology.
1) Follow the patches of information technology systems published against known cyber security gaps. 1
1) Lists the tasks and responsibilities required to identify and prevent any exploitation of hardware. 1
2) Know and analyze cyber assets in terms of information security.
2) Lists the tasks and responsibilities required to identify and prevent any abuse that may occur in software components. 5
2) Explains the importance of authorizing users as much as they can. 1
2) Has awareness for ethical and social responsibility. 1
2) Information Security Creates procedure and control components 1
2) Takes part in activities related to the field of education in a business operating in the field. 1
3) Explains the necessary policies and processes for effective event management. 1
3) Questions the application with theoretical knowledge. 3
3) Takes responsibility as a team member in works and operations of his/her field. 2
3) Lists the tasks and responsibilities required to identify and prevent any abuse that may occur in local area networks. 1
3) Identify non-technological tools and methods against cyber attack. 1
3) Experience the cyber security risk management system.
4) Applies the theoretical knowledge learned in business life for a semester.
4) Identifies the methods and methods of technological methods against cyber attack. 1
4) Compiles the knowledge and experience gained in the field. 2
4) Is aware of written, verbal communication and interaction. 1
4) Explains the importance of monitoring the cyber systems for the correct structuring of the powers, the realization of the realized, failed or failed cyber attacks, the timely response to the protection and the fulfillment of the legal requirements. 1
5) Follows the developments of advanced technology and digital transformation. 3
5) User training and security awareness describes the importance of cyberspace. 1
5) Acquires the competencies defined as the institutional outcomes of Beykoz University on the basic level, inline with the expectations of business world and the society.
6) Acquires the awareness for lifelong learning. 1
6) Recall national and international legislation and regulations related to the field of Information Security Technology. 1
7) Defines the fundamentals of programming and algorithm information. 5
7) Has awareness about citizenship competency. 1
8) Evaluates the developments of his/her field with the understanding of an entrepreneur. 1
9) Acquires communication in a Foreign Language (English) competence defined on the level of at least A2 in European Language Portfolio. (In programs whose medium of instruction is English, on the level of B1). 1

SECTION IV: TEACHING-LEARNING & ASSESMENT-EVALUATION METHODS OF THE COURSE

Teaching & Learning Methods of the Course

(All teaching and learning methods used at the university are managed systematically. Upon proposals of the programme units, they are assessed by the relevant academic boards and, if found appropriate, they are included among the university list. Programmes, then, choose the appropriate methods in line with their programme design from this list. Likewise, appropriate methods to be used for the course units can be chosen among those defined for the programme.)
Teaching and Learning Methods defined at the Programme Level
Teaching and Learning Methods Defined for the Course
Lectures
Problem Solving
Demonstration
Laboratory
Homework

Assessment & Evaluation Methods of the Course

(All assessment and evaluation methods used at the university are managed systematically. Upon proposals of the programme units, they are assessed by the relevant academic boards and, if found appropriate, they are included among the university list. Programmes, then, choose the appropriate methods in line with their programme design from this list. Likewise, appropriate methods to be used for the course units can be chosen among those defined for the programme.)
Aassessment and evaluation Methods defined at the Programme Level
Assessment and Evaluation Methods defined for the Course
Midterm
Final Exam
Quiz
Homework Evaluation

Contribution of Assesment & Evalution Activities to Final Grade of the Course

Measurement and Evaluation Methods # of practice per semester Level of Contribution
Quizzes 2 % 20.00
Homework Assignments 1 % 5.00
Midterms 1 % 25.00
Semester Final Exam 1 % 50.00
Total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
Total % 100

SECTION V: WORKLOAD & ECTS CREDITS ALLOCATED FOR THE COURSE

WORKLOAD OF TEACHING & LEARNING ACTIVITIES
Teaching & Learning Activities # of Activities per semester Duration (hour) Total Workload
Course 14 4 56
Laboratory 0 0 0
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 14 1 14
Presentations / Seminar 0 0 0
Project 1 15 15
Homework Assignments 1 5 5
Total Workload of Teaching & Learning Activities - - 90
WORKLOAD OF ASSESMENT & EVALUATION ACTIVITIES
Assesment & Evaluation Activities # of Activities per semester Duration (hour) Total Workload
Quizzes 1 3 3
Midterms 1 15 15
Semester Final Exam 1 20 20
Total Workload of Assesment & Evaluation Activities - - 38
TOTAL WORKLOAD (Teaching & Learning + Assesment & Evaluation Activities) 128
ECTS CREDITS OF THE COURSE (Total Workload/25.5 h) 5