Program Information
| Duration | : | 4 years |
| Level | : | BS |
| Shift | : | Morning |
| Credit Hrs | : | 136 |
| Semester | : | 8 |
Similar Programs
BS Artificial Intelligence (BS AI)
Overview:
The Department of Computer Science is offering BS Artificial Intelligence accredited from HEC / NCEAC.
Vision
To become a center of excellence in creating computing knowledge for comprehensive development in emerging fields.
Mission
Fostering state-of-the-art computing education and skills through creative knowledge, innovative research, and emerging technologies.
Program Educational Objectives (PEOs)
Following Program Educational Objectives (PEOs) have been defined by keeping in view the department’s vision and mission. The graduates of the BS Artificial Intelligence program are expected to have the below mentioned skills after four - five years of their graduation.
PEO-1: Produce seasoned technologists having solid foundation of computing and strong Artificial Intelligence skills to anayze and solve real world problems of various domains.
PEO-2: Foster the skills to design and develop intelligent solutions.
PEO-3: Demonstrate effective written and verbal communication skills.
PEO-4: Establish ethical and moral values in professional life with an aim of learning new skills and technologies for a life-long-learning.
Program Learning Outcomes
Program Learning Outcomes are the expectations that can be measured and are considered to be the attributes of a graduate.
|
# |
Program Learning Outcomes (PLOs) |
Computing Professional Graduate |
|
1 |
Academic Education |
To prepare graduates as computing professionals |
|
2 |
Knowledge for Solving Computing Problems |
Apply knowledge of computing fundamentals, knowledge of a computing specialization, and mathematics, science, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements |
|
3 |
Problem Analysis |
Identify, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines |
|
4 |
Design/ Development of Solutions |
Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations |
|
5 |
Modern Tool Usage |
Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations |
|
6 |
Individual and Team Work |
Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings |
|
7 |
Communication |
Communicate effectively with the computing community and with society at large about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions |
|
8 |
Computing Professionalism and Society |
Understand and assess societal, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice |
|
9 |
Ethics |
Understand and commit to professional ethics, responsibilities, and norms of professional computing practice |
|
10 |
Life-long Learning |
Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional |
Scheme of Studies
Eligibility:
1. Intermediate with any one of the following combinations with 50% marks:
- Maths, Physics and Chemistry
- Maths, Stats and Computer
- Maths, Physics and Computer
- Maths, Stats and Physics
- Maths, Stats and Economics
- Physics, Chemistry and Biology
2. Diploma in Associate Engineering Examination with at least 60% aggregate marks in the relevant discipline.
