After completing the course the students are expected to have acquired basic knowledge in: I. Acquire a firm knowledge of data structures and practical experience using their implementation. II. Study the concept of abstract data types (ADTs) and the most commonly used ADTs in software development III. Learn how data may be structured and instructions sequenced in algorithms and programs as well as the relationship between appropriate data and control structures and tasks from the “real world”. IV. Understand and contrast the operation of common data structures in terms of time complexity, space utilization, and the abstract data types they implement. V. Learn how to assess how the choice of data structures and algorithm design methods infl...
. Traditionally, students in undergraduate computer science curricula have to wait until their third...
It is common for computer science curricula to include a course on data structures and algorithm ana...
Advanced programming, data structures and algorithm design. Topics included advanced language featur...
The focus of most academic Information Systems (IS) programs is to teach computer usage, systems ana...
This course will explore ideas of data and program organization that allow complex tasks to be solve...
In this course, the student will learn the theoretical and practical aspects of algorithms and Data ...
The objectives are to study • Develop problem solving ability using Programming. • Develop ability t...
My thesis teaches about E-learning and how we can implement it in our day to day activities. it also...
This course will cover the fundamentals of algorithm design and analysis, the implementation of clas...
Student learning outcomes include: Analyze basic algorithms for space and time complexity Design a...
In this course, students will learn basic data structures and how to design and analyze software. Co...
The software life cycle. Requirements analysis. Specification of requirements. Software design and s...
Formation of notion is a fundamental process in education, and for that reason it is excessively stu...
This is a fundamental course for students majoring in Computer Science. Students will learn: basic a...
As Data Structure & Algorithms is considered to be one of the difficult subject for students to unde...
. Traditionally, students in undergraduate computer science curricula have to wait until their third...
It is common for computer science curricula to include a course on data structures and algorithm ana...
Advanced programming, data structures and algorithm design. Topics included advanced language featur...
The focus of most academic Information Systems (IS) programs is to teach computer usage, systems ana...
This course will explore ideas of data and program organization that allow complex tasks to be solve...
In this course, the student will learn the theoretical and practical aspects of algorithms and Data ...
The objectives are to study • Develop problem solving ability using Programming. • Develop ability t...
My thesis teaches about E-learning and how we can implement it in our day to day activities. it also...
This course will cover the fundamentals of algorithm design and analysis, the implementation of clas...
Student learning outcomes include: Analyze basic algorithms for space and time complexity Design a...
In this course, students will learn basic data structures and how to design and analyze software. Co...
The software life cycle. Requirements analysis. Specification of requirements. Software design and s...
Formation of notion is a fundamental process in education, and for that reason it is excessively stu...
This is a fundamental course for students majoring in Computer Science. Students will learn: basic a...
As Data Structure & Algorithms is considered to be one of the difficult subject for students to unde...
. Traditionally, students in undergraduate computer science curricula have to wait until their third...
It is common for computer science curricula to include a course on data structures and algorithm ana...
Advanced programming, data structures and algorithm design. Topics included advanced language featur...