Advanced Programming (CS 204)

2023 Summer
Faculty of Engineering and Natural Sciences
Computer Sci.& Eng.(CS)
3
6
Duygu Karao─član Altop duygukaltop@sabanciuniv.edu,
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English
Undergraduate
CS201
Formal lecture,Interactive lecture,Recitation
Interactive,Communicative,Discussion based learning,Task based learning
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CONTENT

This course is intended to give advanced programming techniques, as well as further experience in programming. Topics covered will be: advanced object-oriented programming techniques and programming with classes (function overloading, templated classes, inheritance), pointers, linked lists, stacks, queues, debugging and profiling, reusable software (using/creating libraries), visual/GUI programming, exception handling, multi- threaded programming and synchronization.

OBJECTIVE

The objective of this course is to give advanced object oriented design and programming techniques and basic data structures in order to provide further experience and practical knowledge in computer programming.

LEARNING OUTCOMES

  • Reinforce the basics of computer systems and programming: describe how the data is stored in the memory, the internal representation of numeric and non-numeric data, and how they can be manipulated at the bit level; demonstrate the use of preprocessor, compiler and linker in the context of source code processing and explain their roles.
  • Understand, implement and use auto, static, extern and dynamically managed data types and structures: describe how various data types and structures (e.g., pointers, user-defined plain-old and other data types and classes) are allocated and used; implement basic data structures, such as arrays, various types of linked lists, stacks and queues, using dynamic memory allocation techniques in C++.
  • Understand, implement, and use object-oriented programming: design/develop rich classes with constructor(s), destructor, deep/shallow copy constructor, move constructor, assignment operator and operator overloading sharing objects through reference parameters/pointers; use/develop classes with inheritance, including the concepts of overriding and polymorphism; use/develop templated functions and classes as well as function overloading when necessary.
  • Understand, implement, and use advanced concepts: demonstrate the use of exception handling, concurrent applications, and graphical user interfaces.

PROGRAMME OUTCOMES


1. Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values and responsibility to the self and to others. 1

2. Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 1

3. Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects; have the ability to continue to educate him/herself. 1

4. Communicate effectively in Turkish and English by oral, written, graphical and technological means. 3

5. Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multi-disciplinary teams. 2


1. Possess sufficient knowledge of mathematics, science and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 2

2. Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 1

3. Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; possess knowledge of standards used in engineering applications; use information technologies effectively. 2

4. Have the ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling specified needs; apply modern design techniques for this purpose. 1

5. Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas. 1

6. Possess knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development. 1

7. Possess knowledge of impact of engineering solutions in a global, economic, environmental, health and societal context; knowledge of contemporary issues; awareness on legal outcomes of engineering solutions; knowledge of behavior according to ethical principles, understanding of professional and ethical responsibility. 1

8. Have the ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions. 1


1. Comprehend key concepts in biology and physiology, with emphasis on molecular genetics, biochemistry and molecular and cell biology as well as advanced mathematics and statistics. 1

2. Develop conceptual background for interfacing of biology with engineering for a professional awareness of contemporary biological research questions and the experimental and theoretical methods used to address them. 1


1. Design, implement, test, and evaluate a computer system, component, or algorithm to meet desired needs and to solve a computational problem. 5

2. Demonstrate knowledge of discrete mathematics and data structures. 4

3. Demonstrate knowledge of probability and statistics, including applications appropriate to computer science and engineering. 1


1. Use mathematics (including derivative and integral calculations, probability and statistics, differential equations, linear algebra, complex variables and discrete mathematics), basic sciences, computer and programming, and electronics engineering knowledge to (a) Design and analyze complex electronic circuits, instruments, software and electronics systems with hardware/software or (b) Design and analyze communication networks and systems, signal processing algorithms or software 2


1. Applying fundamental and advanced knowledge of natural sciences as well as engineering principles to develop and design new materials and establish the relation between internal structure and physical properties using experimental, computational and theoretical tools. 1

2. Merging the existing knowledge on physical properties, design limits and fabrication methods in materials selection for a particular application or to resolve material performance related problems. 1

3. Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa. 1


1. Familiarity with concepts in statistics and optimization, knowledge in basic differential and integral calculus, linear algebra, differential equations, complex variables, multi-variable calculus, as well as physics and computer science, and ability to use this knowledge in modeling, design and analysis of complex dynamical systems containing hardware and software components. 2

2. Ability to work in design, implementation and integration of engineering applications, such as electronic, mechanical, electromechanical, control and computer systems that contain software and hardware components, including sensors, actuators and controllers. 1


1. Formulate and analyze problems in complex manufacturing and service systems by comprehending and applying the basic tools of industrial engineering such as modeling and optimization, stochastics, statistics. 1

2. Design and develop appropriate analytical solution strategies for problems in integrated production and service systems involving human capital, materials, information, equipment, and energy. 1

3. Implement solution strategies on a computer platform for decision-support purposes by employing effective computational and experimental tools. 2

ASSESSMENT METHODS and CRITERIA

  Percentage (%)
Final 35
Midterm 50
Assignment 15

RECOMENDED or REQUIRED READINGS

Textbook

MAIN TEXTS
"Ivor Horton's Beginning Visual C++ 2012", by Ivor Horton, ISBN: 978-1-118-36808-4.
"A Computer Science Tapestry" (CS201 Book)

REFERENCE BOOKS
"Starting out C++ Early Objects", 7th edition, by T. Gaddis, J. Walters and G. Muganda
"Objects, Abstraction, Data Structures and Design using C++", by Koffman and Wolfgang.