Description
Curriculum
Instructor
Course Description
Computer Science 12th Class course provides students with an in-depth understanding of advanced computer science concepts and technologies. Students will explore topics such as advanced programming languages, data structures, algorithms, artificial intelligence, and computer networks. Through theoretical discussions, practical programming assignments, and project work, students will enhance their problem-solving skills and prepare for further study or careers in the field of computer science.
Course Pricing for Computer Science 12th Class
Individual Student Pricing for Computer Science 11th Class
- Per Lecture: PKR 1,200
- Complete Course: PKR 24,000
Group of Students (up to 5)
- Per Lecture: PKR 4,800
- – Complete Course: PKR 96,000
Instructor Notes
- The fees listed for all courses and classes are negotiable.
- I understand that each student’s situation is unique.
- I am open to discussing and adjusting the fees to accommodate individual needs and circumstances.
- Please feel free to contact me to discuss fee adjustments or any other concerns you may have.
Learning Objectives
- Gain a comprehensive understanding of advanced computer science concepts and technologies.
- Develop proficiency in programming using advanced programming languages and software tools.
- Explore advanced topics such as artificial intelligence, computer networks, and cybersecurity.
- Apply computer science knowledge to develop complex software solutions and projects.
- Prepare for further study or careers in the field of computer science or related areas.
Course Content
- Advanced Programming Languages
- Introduction to advanced programming languages (e.g., Java, C#)
- Advanced language features and libraries
- Developing large-scale software applications
- Data Structures and Algorithms
- Advanced data structures: graphs, trees, heaps, hash tables
- Advanced algorithm design techniques: dynamic programming, divide and conquer
- Complexity analysis and optimization techniques
- Artificial Intelligence (AI)
- Introduction to artificial intelligence and machine learning
- AI algorithms and techniques: search algorithms, neural networks, genetic algorithms
- Applications of AI in various domains: robotics, natural language processing, computer vision
- Computer Networks
- Overview of computer network architecture and protocols
- Internet protocols and technologies: TCP/IP, HTTP, DNS
- Network security and cybersecurity principles
- Database Management Systems (DBMS)
- Advanced database concepts: advanced SQL queries, stored procedures, triggers
- Database administration and performance tuning
- Big data and data analytics
- Software Engineering and Project Management
- Software development methodologies: agile, scrum, DevOps
- Software architecture and design patterns
- Project management techniques: planning, scheduling, risk management
- Emerging Technologies
- Introduction to emerging technologies such as blockchain, Internet of Things (IoT), cloud computing
- Ethical and social implications of technology
- Future directions in computing and career opportunities
Assessment and Grading
- Class Participation: 10%
- Assignments and Quizzes: 30%
- Midterm Examination: 20%
- Final Project or Examination: 40%
Required Materials/Resources
- Textbook: To Be Announced (TBA) By Instructors
- Programming Environment: Suitable programming software or tools for practicing programming concepts
- Access to online resources for additional learning materials and tutorials
Course Policies
- Attendance: Regular attendance is expected, and participation in class activities and discussions is encouraged.
- Academic Integrity: All work submitted must be original, and plagiarism or cheating will result in disciplinary action.
- Late Submissions: Assignments submitted after the deadline will incur a penalty unless prior arrangements have been made with the instructor.
- Communication: Students are encouraged to communicate with the instructor regarding any concerns or questions about the course material or assignments.
- Grading Policy Grades will be based on the quality of work and adherence to deadlines.
Instructor Information
- Instructor Name: Rehmatullah Khan
- Office Hours: TBA
- Profile Link: https://www.parho.co/instructor/khan/
Additional Information
- Prerequisites: Completion of Computer Science 11th Class or equivalent coursework is recommended.
- Duration: To Be Announced (TBA) By Instructors
- Format: Online, asynchronous
- Technical Requirements: Access to a computer with internet connection
- Support Resources: Purchase Support Hours
This course aims to provide students with advanced knowledge and skills in computer science, preparing them for further study at the undergraduate level or for careers in the field of software development, computer engineering, or related areas.
Rehmatullah Khan
0 Students11 Courses
As an IT instructor and Computer Science Lecturer, I have extensive experience teaching programming, algorithms, and software engineering. I have design and deliver engaging curriculum for undergraduate and graduate courses, leveraging hands-on projects and real-world applications. I mentor students, guide research, and stay updated with industry trends to incorporate the latest technologies and methodologies, fostering a dynamic and practical learning environment.
I have developed and delivered comprehensive curriculum for undergraduate and graduate courses in programming, algorithms, and software engineering. I mentor my students, guiding them to achieve academic and professional success. Led researched projects, resulted in several published papers.
Integrating latest industry trends into coursework, ensuring students are equipped with current knowledge and skills. Proficient in multiple programming languages and development tools. Recognized for exceptional teaching methods and have received awards for excellence in education.
My strength is strong communication and organizational skills, with a proven ability to foster a dynamic and engaging learning environment.
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Language: English
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