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Course Description Course Name : Computer Programming II Course Code : İSB244 Course Type : Compulsory Level of Course : First Cycle Year of Study : 2 Course Semester : Spring (16 Weeks) ECTS : 5 Name of Lecturer(s) : Lecturer ERKAN KAYNAK Learning Outcomes of the Course : Understand and use Conditional Statements in C language Use loops in C language Student can use arrays and do search and sorting operations. Student can use String Class and its methods. Students can work with files and directories in C laguage. Write and read data from text files. use graphical functions. Create graphics and animations. Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : Can solve mathametical problems by using C language. Using text files for data saving and data processing. Course Contents : Developing programs using the C programming language. Debugging the C programming language. To use the file system. Perform data operations on text files. Compile and distribute C programs. Language of Instruction : Turkish Work Place : Faculty classrooms and computer lab.   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Operators in C language. Source reading Lecture, create projects on computer. 2 Conditional Statements (If, Else If, Swtich) Source reading Lecture, create projects on computer. 3 Loops (for, while) Source reading Lecture, samples, create projects on computer. 4 Arrays Source reading Lecture, samples, create projects on computer. 5 Searching and sorting algorithms. Source reading Lecture, samples, create projects on computer. 6 Converting types of variables. Source reading Lecture, samples, create projects on computer. 7 Sub programs Source reading Lecture, samples, create projects on computer. 8 Midterm Exam Review the topics discussed in the lecture notes and sources Create project on computer. 9 Working with files and directories. Source reading Lecture, samples, create projects on computer. 10 Open text files. Read data from text files. Source reading Lecture, samples, create projects on computer. 11 Write data to text files. Source reading Lecture, samples, create projects on computer. 12 Introduction to Allegro game library. Source reading Lecture, samples, create projects on computer. 13 Creating graphics. Use bitmap pictures. Source reading Lecture, samples, create projects on computer. 14 Creating simple animations. Source reading Lecture, samples, create projects on computer. 15 Example projects Source reading Lecture, samples, create projects on computer. 16/17 Final Exam Review the topics discussed in the lecture notes and sources Create project on computer.   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Brian W. Kernighan , Dennis M. Ritchie, C Programming Language (2nd Edition)  Brian W. Kernighan , Dennis M. Ritchie, C Programlama Dili, Sistem Yayıncılık  Stephen G. Kochan, Programming in C (3rd Edition) 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 5 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 1 3 Make statistical inference(estimation, hypothesis tests etc.) 1 4 Generate solutions for the problems in other disciplines by using statistical techniques 2 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 3 7 Distinguish the difference between the statistical methods 1 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 3 10 Have capability on effective and productive work in a group and individually 5 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 1 13 Emphasize the importance of Statistics in life 2 14 Define basic principles and concepts in the field of Law and Economics 1 15 Produce numeric and statistical solutions in order to overcome the problems 5 16 Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events 4 17 Use proper methods and techniques to gather and/or to arrange the data 2 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 2 28 Assesment Related Works     Homeworks, Projects, Others 5 5 25     Mid-term Exams (Written, Oral, etc.) 1 10 10     Final Exam 1 15 15 Total Workload: 134 Total Workload / 25 (h): 5.36 ECTS Credit: 5