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Course Description Course Name : Computer Programming 3 Course Code : İSB343 Course Type : Optional Level of Course : Sub-Level (Undergraduate Degree) Year of Study : 3 Course Semester : Fall (16 Weeks) ECTS : 6 Name of Lecturer(s) : Lecturer ERKAN KAYNAK Learning Outcomes of the Course : Understand Visual Programming. Use Visual Stdudio integrated development enviroment. understand form design, toolkit, properties window, project properties. Understand constants, variables, variable types, input and output data. Define Conditional Statements, Loops, Arrays, String array functions. Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : AI 101 Ataturks Principles and History of Turkish Revolut Recommended Optional Programme Components : None Aim(s) of Course : Students can develop computer programs in Visual C# language. They can solve mathametical problems using visual C#. Course Contents : General information about visual programming. Types of projects. Introducing the Visual Studio environment. Form design, tool box, the properties window of the project window. Compile and run the project. Visual C # language, constants, variables, variable types, input-output commands, control structures, loop structures. Local, state, and common variables. Series. The commonly used form controls. Subroutines. Classes. Language of Instruction : Turkish Work Place : Faculty classrooms and computer labs.   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Introduction to visual programming Source reading Lecture. Apply on computer. 2 Project types in Visual C# Source reading Lecture, samples, create projects on computer. 3 Form design, Tool box elements, properties windows, project window Source reading Lecture, samples, create projects on computer. 4 constants, variables, variable types, Data input and Output Source reading Lecture, samples, create projects on computer. 5 control statements, loop statements, Arrays, Character array processing functions Source reading Lecture, samples, create projects on computer. 6 Sub programs, functions, public and local variables. Source reading Lecture, samples, create projects on computer. 7 Commands and functions about operating systems Source reading Lecture, samples, create projects on computer. 8 Mid Term Exam Rewview the topics discussed in the lecture notes and sources create project on computer 9 Sequent and random accessable files, using events which are described before Source reading Lecture, samples, create projects on computer. 10 Common methods in C# Source reading Lecture, samples, create projects on computer. 11 İmages and graphics Source reading Lecture, samples, create projects on computer. 12 Making program which contains menu structure Source reading Lecture, samples, create projects on computer. 13 Object oriented programming I Source reading Lecture, samples, create projects on computer. 14 Object oriented programming II Source reading Lecture, samples, create projects on computer. 15 Sample projects. Source reading Lecture, samples, create projects on computer. 16/17 Final Exam Rewview the topics discussed in the lecture notes and sources create project on computer   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  John Sharp, Adım Adım Visual C# 2010, Arkadaş Yayınları  John Sharp, Microsoft® Visual C#® 2010 Step by Step  Hamza Erol (2010), Microsoft Visual C# .Net ile Görsel Programlama, Nobel Kitapevi - ADANA Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 60     Homeworks/Projects/Others 10 40 Total 100 Rate of Semester/Year Assessments to Success 40   Final Assessments 100 Rate of Final Assessments to Success 60 Total 100   Contribution of the Course to Key Learning Outcomes # Key Learning Outcome Contribution* 1 Utilize computer systems and softwares 5 2 Apply the statistical analyze methods 0 3 Make statistical inference(estimation, hypothesis tests etc.) 0 4 Generate solutions for the problems in other disciplines by using statistical techniques 0 5 Discover the visual, database and web programming techniques and posses the ability of writing programme 5 6 Construct a model and analyze it by using statistical packages 0 7 Distinguish the difference between the statistical methods 0 8 Be aware of the interaction between the disciplines related to statistics 4 9 Make oral and visual presentation for the results of statistical methods 2 10 Have capability on effective and productive work in a group and individually 0 11 Develop scientific and ethical values in the fields of statistics-and scientific data collection 0 12 Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics 0 13 Emphasize the importance of Statistics in life 0 14 Define basic principles and concepts in the field of Law and Economics 0 15 Produce numeric and statistical solutions in order to overcome the problems 0 16 Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events 0 17 Use proper methods and techniques to gather and/or to arrange the data 0 18 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 0 * Contribution levels are between 0 (not) and 5 (maximum).   Student Workload - ECTS Works Number Time (Hour) Total 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 10 1 10     Mid-term Exams (Written, Oral, etc.) 1 10 10     Final Exam 1 10 10 Total Workload: 142 Total Workload / 25 (h): 5.68 ECTS Credit: 6