Coding
Python is a versatile and widely used programming language that is applicable across a variety of disciplines from data analysis to web development. Python programming course will cover the basics of python syntax, data types, control structures, functions, and object-oriented programming concepts. Additionally, the course will be tailored to a student’s discipline by discussing real-life applications and mini-projects designed to be relevant to the student’s background.
Solid Modelling
Solid modeling is a crucial computer-aided design and manufacturing skill that is relevant in engineering, architecture, and product design. Solid modeling course will cover a variety of topics, such as 3D modeling basics, surface modeling, solid modeling techniques, and assembly modeling. The skills gained from a solid modeling course can be valuable in a variety of careers, such as mechanical engineering, industrial design, and product development. Our solid modelling course is ideal for students (diploma or degree) with any engineering background. Students will learn the basics of 2D/3D modelling and complete a mini/major project.
FEM Simulations
Finite Element Method (FEM) simulation is a widely used tool in engineering, physics, and applied mathematics. Our FEM simulation course will cover the basics of including meshing techniques, material models, boundary conditions, and post-processing of results. Students will complete a mini/major projects and develop problem-solving skills that are valuable in a career in finite element analysis, structural engineering, or product design. Students seeking 6 month internship in FEM software development can also apply.
CFD Simulations
Computational Fluid Dynamics (CFD) simulation is a widely used tool in engineering and physics to analyze and predict the behavior of fluid flows. This course will cover the basics of fluid dynamics, numerical methods, and turbulence modeling, while providing students with hands-on experience using mini/major projects. The skills gained from a CFD simulation course can be valuable in a variety of careers, such as aerospace engineering, mechanical engineering, and energy systems analysis. Students seeking 6 month internship in CFD software development can also apply.
MD Simulations
Molecular Dynamics (MD) simulation is a powerful tool used in chemistry, biophysics, and materials science to study the behavior of molecules and molecular systems. This course will cover the basics of classical mechanics, statistical mechanics, and the algorithms used to perform molecular simulations. Students will also gain hands-on experience using industry-standard software packages such as GROMACS, NAMD, or LAMMPS. The course will also cover topics such as force fields, simulation setup and analysis, and the interpretation of simulation results. The skills gained from an MD simulation course can be valuable in a variety of careers, such as drug discovery, materials science, and biophysics.
Bioinformatics
Bioinformatics is an interdisciplinary field that combines biology, computer science, and statistics to analyze and interpret biological data, including DNA sequences, protein structures, and gene expression profiles. This course will cover the basics of molecular biology, data analysis, and programming, while providing students with hands-on experience using industry-standard tools and databases, such as BLAST, ClustalW, and PDB. The course will cover topics such as sequence alignment, phylogenetic analysis, protein structure prediction, and genome annotation. The skills gained from a bioinformatics course can be valuable in a variety of careers, such as pharmaceuticals, biotechnology, and medical research.