JKPSC Assistant Professor Syllabus: Download Here
Syllabus for the post of Assistant Professor in the discipline of Infrastructure and Engineering
1. Infrastructure Development and Management
Introduction to Indian Infrastructure. Govt. initiatives through various five year plans. Overview of various sectors of infrastructure and SEZ. Infrastructure procurement through Public-Private Partnership. Sector-wise differences in policies, Concession agreement, Selection procedure of concessionaires, Issues in financial closure, Stakeholder management. Financial Models, Risk management, Environmental Impact Assessment
2. Infrastructure Scheduling and Monitoring
Infrastructure planning, Work break down structure, PERT, CPM, Precedence Network, Time constrained Resource allocation and resource constrained problems, Time Cost trade off, project updating and control using EVM, Construction contracts and its types, tendering procedure, estimation and fixing of markup, bidding models, claims compensation and disputes, dispute resolution models, FIDIC contracts.
Linear programming, Problems i infrastructure, Formulation, Graphical solution, Simplex method, Dual problem, sensitivity analysis and their application to Infrastructure engineering. Transportation Assignment problems and their applications.
4. Infrastructure Planning and Management
Engineering Urban and rural infrastructure planning: risks associated; project governance;
infrastructure maintenance: innovative infrastructure financing: polycentric governance.
5. Environmental Engineering
Sources of wastewater; primary and secondary treatment methods; sludge characteristics; Air pollutants; Effect of air pollution of human health, vegetation, and materials; Pollution monitoring: Control equipment; Indoor air pollutions;
Management of solid waste; Environmental
Risk Assessment: Treatment of hazardous
6. Urban Transportation Planning (PE)
Urban transportation planning process and concepts, Travel demand estimation, Mode split and route split analysis, Land use- Transportation models.