Core course in MSc Chemistry – Energy & Sustainability; elective course in MSc Chemistry – Chemical Biology and in MSc Life Science and Technology
Students with a BSc degree in MST with a major in Chemistry have enough background knowledge for the CCMS course. Other students should have a basic knowledge of molecular quantum mechanics (Hermitian operators, Schrödinger equation, concept of atomic and molecular orbitals, meaning of the wave function) and linear algebra (systems of linear equations, matrices, eigenvalues and eigenvectors).
This course was previously given under the name Modern Quantum Chemistry (MQC), uSis code 4423MQCL4. This course cannot be combined with MQC in a programme or used in a MSc programme when MQC was taken in the BSc programme.
The course introduces the theory, implementation and use of modern computational techniques in physical chemistry. Computational chemistry is nowadays an indispensable tool complementary to experimental data and increasingly able to accurately predict properties of novel molecules/materials. Main topics that will be covered are: Born-Oppenheimer approximation, variational principle, , Hartree-Fock, correlated electronic structure methods, density functional theory, molecular mechanics, molecular dynamics (MD) simulations, ab initio MD, quantum-mechanics molecular-mechanics (QM/MM) methods, non-adiabatic MD. The acquired theoretical knowledge will be used in practical applications with computer exercises.
At the end of the course students:
will be able to assess the range of applicability of the various computational methods and will have fundamental knowledge of the approximations involved
will experience how different theoretical/computational tools can be used in practical applications
will be able to select and use computational tools appropriate to tackle a specific research question
will have gained the necessary knowledge and experience to perform research projects in computational and theoretical chemistry
will learn the language of modern computational chemistry and be able to analyse a scientific computational chemistry article from the current literature
Schedule information can be found on the website
of the programmes.
Assignments and deadlines are communicated via Brightspace.
Mode of instruction
Lectures, videos and lecture notes for (home-)study, homework assignments, computer labs sessions, discussions.
Lectures, exercise classes and computer labs may be held online if necessitated by corona measures. Videos and lecture notes will supplement online learning.
1) Written examination (80%). If the corona situation precludes a physical on-campus exam, the written exam will be an open book exam.
2) Reports on computer exercises (20%)
3) Attendance at lectures and labs:
a) In the first part of the lecture series, computer labs and exercises will be integrated into the lecture. These lab sessions do not require a written report. Active participation in these lectures is, however, considered mandatory. Students participating in less than 50% of these classes can be excluded from the exam.
b) In the second part of the lecture series, computer labs will be held in two dedicated lab sessions. Presence at these lab sessions is considered mandatory. Students not participating in these labs without discussing this a priori with the lecturers can be excluded from the exam. The lab reports to these sessions make up 20% of the final grade.
A minimum grade of 5.0 is needed for both written examination and lab reports to pass the course.
Essentials of Computational Chemistry: Theories and Models, 2nd Edition; Christopher J. Cramer, Wiley, 2004. Lecture notes, articles, exercises, additional material will be provided on Brightspace
Register for this course via uSis
Dr. Francesco Buda, Dr. Katharina Doblhoff-Dier
According to OER article 4.8, students are entitled to view their marked examination for a period of 30 days following the publication of the results of a written examination. Students should contact the lecturer to make an appointment for such an inspection session.