Introduction for BS Mathematics

Most of the degree programs offered by different departments of the University have courses in Applied Mathematics, Statistics and Numerical Analysis as an essential part of their curriculum. The department of mathematics at UET Faisalabad Campus is committed to provide excellent teaching services to these courses.

BS Mathematics program was launched in 2023 which is a four-year program conforming with the requirements of the Higher Education Commission for award of the degree.  The course work of BS Mathematics which comprises of eight semesters, offers a variety of courses in Pure, Applied and Computational Mathematics ranging from fundamental to advanced levels. The program is not only well harmonized with the standards of Higher Education Commission in Mathematics but also it reflects the international standard levels in its curriculum. The vital objective of the program is to train students in pure and applied mathematics for deep understanding of the subject including research which can lead to their successful careers in different areas of field including industry as well.

Prepare our graduates to use their logical reasoning and problem-solving skill to real life problems throughout their careers.

  1. Students will be able to learn about the knowledge of variety of Mathematics
  2. Student will be able to acquire mathematics knowledge and skill necessary for success in their program or career.
  3. Student will be able to do work independently and in collaboration as well on mathematical problems.
  4. Student will be capable to understand the role of intuition, formalization and proof in Mathematics.
  5. Student will learn to develop the critical thinking.
  6. Student will learn about the problem-solving techniques

Facilities: Please put the university facilities link over here.

PLO 1 Engineering Knowledge:An ability to apply knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.

PLO 2 Problem Analysis:  An ability to identify, formulate, research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.

PLO 3 Design/Development of Solutions: An ability to design solutions for complex engineering problems and design systems, components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.

PLO 4 Investigation: An ability to investigate complex engineering problems in a methodical way including literature survey, design and conduct of experiments, analysis and   interpretation of experimental data, and synthesis of information to derive valid conclusions.

PLO 5 Modern Tool Usage: An ability to create, select and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling, to complex engineering activities, with an understanding of the limitations.

PLO 6 The Engineer and Society: An ability to apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice and solution to complex engineering problems.

PLO 7 Environment and Sustainability: An ability to understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of and need for sustainable development.

PLO 8 Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.

PLO 9 Individual and Team Work: An ability to work effectively, as an individual or in a team, on multifaceted and /or multidisciplinary settings.

PLO 10 Communication:  An ability to communicate effectively, orally as well as in writing, on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PLO 11 Project Management: An ability to demonstrate management skills and apply engineering principles to one’s own work, as a member and/or leader in a team, to manage projects in multidisciplinary environment.

PLO 12 Lifelong Learning: An ability to recognize importance of, and pursue lifelong learning in the broader context of innovation and technological developments.

Department of Mathematics UET FSD HEC
1st semester credit hours 18 18
2nd semester credit hours 18 17
3rd semester credit hours 16 16
4th semester credit hours 17 16
5th semester credit hours 18 15
6th semester credit hours 16 15
7th semester credit hours 15 16
8th semester credit hours 16 15
Total Credit Hours 134 128
General subjects from faculties other than sciences 11 7
General Subjects from science Faculty 6 6

Applicant should have earned at least 60% marks in Intermediate or equivalent local/foreign qualification examination excluding sports and Hafiz-e-Quran marks.

Degree Awarding Criteria:

  • Candidate shall qualify for the award of BS Mathematics degree if she/he:
  • Has passed the prescribed courses with a minimum CGPA of 2.
BS Mathematics

BS Mathematics

                                                        Year 1

              Semester-1

          Semester-2

Course No.

Subjects 

(Pre-Requisite)

Credit Hours

 

Course No.

Subjects 

(Pre-Requisite)

Credit Hours

Th

Pr

Th

Pr

MATH-101

Calculus-I

3

0

 

MATH-104

Calculus-II

3

0

MATH-102

Elements of Set Theory & Mathematical Logic

3

0

 

MATH-105

Statistics

3

0

MATH-103

Introduction to Computers

3

0

 

MATH-106

Software Packages

3

0

HU-111

Communication Skills

1

0

 

CY-151

Introduction to Physical Chemistry

2

1

IS-101

Islamic & Pakistan Studies-I

3

0

 

HU-221

Technical Writing and Presentation Skills

3

0

PHYS-101

Mechanics

3

1

 

IS-101

Islamic & Pakistan Studies-1

3

0

 

                                                        Year 2

              Semester 3

          Semester-4

Course No.

Subjects 

(Pre-Requisite)

Credit Hours

 

Course No.

Subjects 

(Pre-Requisite)

Credit Hours

Th

Pr

Th

Pr

MATH-201

Calculus-III

3

0

 

MATH-205

Ordinary Differential Equations

3

0

MATH-203

Scientific Programming

2

1

 

MATH-206

Discrete Mathematics

3

0

MATH-204

Linear Algebra

3

0

 

MATH-211

Operation Research-I

3

0

PHYS-201

Waves and oscillations

3

1

 

CY-111

Introduction to Analytical Chemistry

2

1

MGT-100

Introduction to Business

3

0

 

PHY-202

Heat and Thermodynamics

3

0

         

HU-

Any Foreign Language

3

0

 

                                                        Year 3

              Semester 5

          Semester-6

Course No.

Subjects 

(Pre-Requisite)

Credit Hours

 

Course No.

Subjects 

(Pre-Requisite)

Credit Hours

Th

Pr

Th

Pr

MATH-301

Real Analysis-I

3

0

 

MATH-307

Classical Mechanics

3

0

MATH-302

Vector and Tensor Analysis

3

0

 

MATH-308

Partial Differential Equations

3

0

MATH-303

Probability

3

0

 

MATH-309

Complex Analysis

3

0

MATH-304

Topology

3

0

 

CY-151

Introduction to Physical Chemistry

3

0

MATH-312

Operation Research-II

3

0

 

MATH-310

Differential Geometry

3

0

PHYS-305

Modern Algebra-I

3

0

 

MATH-311

Real Analysis-II

3

0

 

                                                        Year 4

              Semester 7

          Semester-2

Course No.

Subjects 

(Pre-Requisite)

Credit Hours

 

Course No.

Subjects 

(Pre-Requisite)

Credit Hours

Th

Pr

Th

Pr

MATH-400

Number Theory

3

0

 

MATH-405

Integral Equations

3

0

MATH-401

Numerical Analysis

3

0

 

MATH-441

Functional Analysis

3

0

MATH-403

Mathematical Physics

3

0

   

Elective-III

3

 
 

Elective-I

3

0

   

Elective-IV

3

 
 

Elective-II

3

0

 

MATH-460

Project

3

0

  •  MATH-442 Measure Theory
  • MATH-443 Algebraic Topology
  • MATH-444 Convex Analysis
  • MATH-445 Modern Algebra II (Rings and Modules)
  • MATH-446 Advanced Group Theory
  • MATH-447 Axiomatic Set Theory
  • MATH-448 Riemannian Geometry
  • MATH-449 Galois Theory
  • MATH-406 Electromagnetism
  • MATH-407 Analytical Dynamics
  • MATH-408 Quantum Mechanics
  • MATH-409 General Relativity
  • MATH-410 Special Relativity
  • MATH-411 Elastic Theory