• Basic information
• Learning outcomes
• Contents
• Assessment
• Workload

Learning outcomes

Upon successful completion of this course, students will be able to:

1. Use advanced programming techniques

   Contribution to Program Outcomes

   1. Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering practice; ability to use information technologies effectively.
   2. An ability to design and conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or discipline-specific research topics.
   3. Being familiar with multivariate mathematics and differential equations, statistics and optimization, using this knowledge to develop models describing problems in mechanical engineering mathematically; be able to solve mechanical engineering problems using computer programming and computational methods; ability to use design and analysis programs related to mechanical engineering.

   Method of assessment

   1. Written exam
   2. Homework assignment
2. Apply Object-Oriented Progragramming techniques

   Contribution to Program Outcomes

   1. Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering practice; ability to use information technologies effectively.
   2. An ability to design and conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or discipline-specific research topics.
   3. Information about the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions.

   Method of assessment

   1. Written exam
   2. Homework assignment
3. Solve engineering problems by developing computer programs

   Contribution to Program Outcomes

   1. Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering practice; ability to use information technologies effectively.
   2. An ability to design and conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or discipline-specific research topics.
   3. Awareness of the necessity of lifelong learning; the ability to access information, follow developments in science and technology, and constantly renew oneself.
   4. Information about the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions.
   5. Being familiar with multivariate mathematics and differential equations, statistics and optimization, using this knowledge to develop models describing problems in mechanical engineering mathematically; be able to solve mechanical engineering problems using computer programming and computational methods; ability to use design and analysis programs related to mechanical engineering.

   Method of assessment

   1. Written exam
   2. Homework assignment

Contents
Week 1:	Procedural and object-oriented programming (OOP)
Week 2:	Objects and Classes in OOP
Week 3:	Data abstraction and encapsulation
Week 4:	Inheritance, Homework 1
Week 5:	Polymorphism, operator overloading
Week 6:	Functions, pointers
Week 7:	File access, streams, Homework 2
Week 8:	Midterm Exam, Enumeration
Week 9:	Templates
Week 10:	Multi-file programming
Week 11:	Basic Data structures I, Homework 3
Week 12:	Basic Data structures II
Week 13:	Basic Algorithms I, Homework 4
Week 14:	Basic Algorithms II
Week 15*:	-
Week 16*:	Final Exam (min. 20 required)
Textbooks and materials:	Learning Object-Oriented Programming in C# 5.0, B.M. Harwani https://software.intel.com/en-us/forums/intel-fortran-compiler/topic/272012
Recommended readings:	Object Oriented Programming Using C#, Simon Kendal Beginning C# Object Oriented Programming, Dan Clark Modern C++ Object-Oriented Programming, Margit Antal Object Oriented Programming in C++, Robert Lafore
	* Between 15th and 16th weeks is there a free week for students to prepare for final exam.

Assessment
Method of assessment	Week number	Weight (%)
Mid-terms:	8	30
Other in-term studies:		0
Project:		0
Homework:	4,7,11,13	10
Quiz:		0
Final exam:	16	60
	Total weight:	(%)

Workload
Activity	Duration (Hours per week)	Total number of weeks	Total hours in term
Courses (Face-to-face teaching):	2	14
Own studies outside class:	2	14
Practice, Recitation:	2	14
Homework:	2	4
Term project:	0	0
Term project presentation:	0	0
Quiz:	0	0
Own study for mid-term exam:	0	0
Mid-term:	2	1
Personal studies for final exam:	5	1
Final exam:	2	1
		Total workload:
		Total ECTS credits:	*
	* ECTS credit is calculated by dividing total workload by 25. (1 ECTS = 25 work hours)