UNIQUE SERIES AKTU Syllabus
BCE751

Integrated Civil Engineering Lab

L-T-P0-0-2 Credits1 Session2025-26 TypeLab / Practical
Appears in 1 semester

B.Tech Civil Engineering · Sem 7 (Lab)

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List of Experiments / Activities

  1. List of Practical (Any 8 out of 12 Recommended):
  2. 1Structural Health Monitoring through Rebound Hammer, UPV Meter, Cover Meter, Potentiometer, Strain Gauges, Acoustic Sensors, etc. (Structural, NDT)
  3. 2Analysis of simple Soil classification through Index Properties using Python, Excel, or ML-Based Tools (Geotechnical, ML)
  4. 3Key Design of Shallow Footings using Terzaghi and Meyerhof Approaches (Foundation Design)
  5. 4Efficient Mix Design for M40 Grade Concrete as per IS 10262:2019 with Excel Optimizer (Concrete Technology)
  6. 5Testing and Estimation of Water Quality Index (WQI) using Laboratory Data (BOD, COD, pH etc) (Environmental Engineering)
  7. 6Road Pavement Design Calculation using IRC 37 & IRC 58 Guidelines based on Traffic Data (Transportation Engineering)
  8. 7Urban Rainwater Harvesting Design and Peak Runoff Estimation via Manual/Software Methods (Hydrology, Smart Infra)
  9. 8Simulation of Cantilever Beam under Load using Finite Element Method (ABAQUS/ANSYS, etc.) (Structural, FEM)
  10. 9Investigating earthquake-resistant behavior through shake table simulation and lateral load testing on a beam-column joint using loading frame/actuator (physical or virtual) (Earthquake Engineering)
  11. 10Applied Mini ML Project: Predicting Concrete Strength through Regression Techniques (Excel/Python) (ML, Concrete Technology)
  12. 11Acquiring topographic layout and surveying data using Total Station or DGPS equipment or Aerial Survey. (Surveying, Geoinformatics)
  13. 12Project Scheduling using MS Project/Primavera for 3-storey RCC Building (Construction Management)
  14. NOTE: Software/Tools Recommended: AutoCAD, Excel, Python, STAAD Pro, ABAQUS, QGIS, MIDAS, ETABs, MS Project/Primavera or any Relevant BIM Software, Open-source ML Libraries etc.
Course Objectives3 points
  • To provide practical, hands-on exposure across key civil engineering domains.
  • To apply IS codes, basic simulations, and digital tools in solving civil engineering problems.
  • To develop multidisciplinary problem-solving skills using modern tools like ML, GIS, FEM, and BIM.
Course Outcomes (COs)5 outcomes

After completion of the course student will be able to:

  1. CO1Conduct tests and interpret results from structural, geotechnical, and environmental experiments.K1, K2, K3
  2. CO2Apply IS codes and numerical models to solve practical design problems.K2, K3
  3. CO3Use ML and GIS tools for civil engineering problem-solving.K3, K4
  4. CO4Analyze simulation outputs and derive engineering inferences.K4, K5
  5. CO5Create integrated engineering reports using software and technical tools.K5, K6

Suggested References

  1. IS 10262:2019, IS 456:2000, IS 1893:2016, IS 3370, IS 6403, IRC:37, IRC:58
  2. CPHEEO Manual for Water Quality Assessment
  3. Bhavikatti, S.S. – Structural Design and Detailing
  4. Rajan & Jain – AI in Civil Engineering (McGraw Hill)
  5. Open-source Platforms: FOSSEE, Kaggle, MIT OCW, NDMA Guidelines

Official AKTU syllabus

This subject is on page 9 of the original AKTU PDF.

Official AKTU syllabus PDF ↗