Available courses

CONSTRUCTION MANAGEMENT II

Course Description: Construction Management 2 builds upon the foundational knowledge from Construction Management 1. It focuses on practical management of construction projects, covering planning, scheduling, cost control, procurement, safety, quality, and contract administration. The course aims to equip students with the skills necessary to effectively oversee and deliver successful construction projects.

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Key Topics Covered:

1. Construction Planning and Scheduling

Work Breakdown Structure (WBS)

Gantt Charts

Critical Path Method (CPM)

Program Evaluation Review Technique (PERT)

Resource allocation and leveling

2. Cost Estimation and Budgeting

Elements of cost (direct, indirect, overhead)

Quantity take-off

Cost estimation techniques

Budget preparation and control

3. Procurement and Contract Management

Tendering processes

Types of contracts (Lump sum, Cost-plus, Unit price)

Bidding and award procedures

Contract administration and dispute resolution

4. Construction Safety Management

Occupational Health and Safety (OHS)

Risk identification and mitigation

Site safety planning

Safety regulations and compliance

5. Quality Control and Assurance

Quality standards in construction

Inspection and testing procedures

Quality assurance plans

Documentation and audits

6. Project Monitoring and Control

Project tracking tools

Performance measurement (EVMS)

Reporting systems

Corrective actions and decision-making

7. Construction Equipment and Methods

Selection and management of construction equipment

Productivity and efficiency

Equipment costing and maintenance

8. Sustainability and Environmental

Considerations

Environmental impact assessment

Green building practices

Waste management

ENGINEERING MATHEMATICS

Course Summary: Engineering Mathematics

Course Description:

Engineering Mathematics is a foundational course designed to equip students with the mathematical tools and analytical techniques necessary for solving engineering problems. It includes a study of advanced calculus, linear algebra, differential equations, complex analysis, and numerical methods, with applications in various engineering fields.

Course Objectives:

  • To develop the ability to model physical systems using mathematical concepts.

  • To provide a strong foundation in calculus, algebra, and differential equations.

  • To introduce numerical and analytical methods for problem-solving.

  • To enhance logical reasoning and mathematical thinking skills.

Major Topics Covered:

  1. Linear Algebra:

    • Matrices and determinants

    • Systems of linear equations

    • Eigenvalues and eigenvectors

    • Vector spaces

  2. Calculus:

    • Limits, continuity, and differentiability

    • Partial differentiation and applications

    • Multiple integrals and their applications

    • Vector calculus (gradient, divergence, curl, line and surface integrals)

  3. Differential Equations:

    • First and second-order ordinary differential equations (ODEs)

    • Solutions of linear differential equations

    • Applications in physical and engineering systems

    • Laplace transforms and their applications

  4. Complex Numbers and Complex Analysis:

    • Complex functions

    • Analytic functions

    • Cauchy’s theorem and integral formula

    • Taylor and Laurent series

    • Residue theorem

  5. Numerical Methods:

    • Solutions of nonlinear equations

    • Numerical integration and differentiation

    • Numerical solutions to ODEs

    • Interpolation and curve fitting

  6. Probability and Statistics (optional/extended):

    • Probability distributions

    • Descriptive statistics

    • Hypothesis testing

    • Regression and correlation

Learning Outcomes:

By the end of the course, students should be able to:

  • Apply mathematical methods to analyze engineering systems.

  • Solve differential equations relevant to mechanical, electrical, and civil engineering.

  • Use linear algebra in systems modeling and control.

  • Implement numerical methods for engineering simulations.

  • Interpret and analyze data using probability and statistics (if included)