Chemistry | Berkeley Academic Guide (2024)

Terms offered: Fall 2024, Fall 2023, Fall 2022
Review of bonding, structure, stereochemistry, conformation, thermodynamics and kinetics, and arrow-pushing formalisms.

Chemistry Fundamentals: Read More [+]

Terms offered: Fall 2024, Fall 2023, Fall 2022
Review of bonding, structure, MO theory, thermodynamics, and kinetics.

Fundamentals of Inorganic Chemistry: Read More [+]

Terms offered: Spring 2024, Spring 2023, Spring 2022
The theory and practice of modern, single-crystal X-ray diffraction. Groups of four students determine the crystal and molecular structure of newly synthesized materials from the College of Chemistry. The laboratory work involves the mounting of crystals and initial evaluation by X-ray diffraction film techniques, the collection of intensity data by automated diffractometer procedures, and structure analysis and refinement.

Structure Analysis by X-Ray Diffraction: Read More [+]

Terms offered: Spring 2024, Spring 2022, Spring 2020
Advanced topics in organic chemistry with a focus on the reactivity and synthesis of aromatic heterocycles. Classic and modern methods for the synthesis of indoles, pyridines, furans, pyrroles, and quinolines will be covered, as well as complex, multi-heteroatom ring systems. Applications to medicinal and bioorganic chemistry will be included where appropriate.

Heterocyclic Chemistry: Read More [+]

Terms offered: Fall 2024, Fall 2023, Fall 2022
A rigorous presentation of classical thermodynamics followed by an introduction to statistical mechanics with the application to real systems.

Thermodynamics and Statistical Mechanics: Read More [+]

Terms offered: Spring 2023, Spring 2022, Spring 2021
Principles of statistical mechanics and applications to complex systems.

Statistical Mechanics: Read More [+]

Terms offered: Fall 2024, Fall 2023, Fall 2022
Basic principles/postulates of quantum mechanics, Hilbert space and representation theory, quantum theory of measurements, advanced descriptions of harmonic oscillator and theory of angular momentum, time independent and time dependent approximation methods, applications to quantum mechanics of atoms and molecules.

Advanced Quantum Mechanics: Read More [+]

Terms offered: Spring 2024, Spring 2023, Spring 2022
Time dependence, interaction of matter with radiation, scattering theory. Molecular and many-body quantum mechanics.

Advanced Quantum Mechanics: Read More [+]

Terms offered: Fall 2017, Spring 2017, Spring 2015
This course presents a survey of experimental and theoretical methods of spectroscopy, and group theory as used in modern chemical research. The course topics include experimental methods, classical and quantum descriptions of the interaction of radiation and matter. Qualitative and quantitative aspects of the subject are illustrated with examples including application of linear and nonlinear spectroscopies to the study of molecular structure
and dynamics and to quantitative analysis. This course is offered jointly with 122.
Spectroscopy: Read More [+]

Terms offered: Spring 2024, Spring 2022, Spring 2021
Deduction of mechanisms of complex reactions. Collision and transition state theory. Potential energy surfaces. Unimolecular reaction rate theory. Molecular beam scattering studies.

Chemical Kinetics: Read More [+]

Terms offered: Spring 2020, Spring 2015, Spring 2014, Spring 2013
The topics covered will be chosen from the following: protein structure; protein-protein interactions; enzyme kinetics and mechanism; enzyme design. Intended for graduate students in chemistry, biochemistry, and molecular and cell biology.

Protein Chemistry, Enzymology, and Bio-organic Chemistry: Read More [+]

Terms offered: Spring 2016, Spring 2015, Spring 2014, Spring 2013
Meeting the challenge of global sustainability will require interdisciplinary approaches to research and education, as well as the integration of this new knowledge into society, policymaking, and business. Green Chemistry is an intellectual framework created to meet these challenges and guide technological development. It encourages the design and production of safer and more sustainable chemicals and products.

Green Chemistry: An Interdisciplinary Approach to Sustainability: Read More [+]

Terms offered: Fall 2018, Spring 2017, Spring 2015, Spring 2014, Spring 2013
After a brief overview of the chemistry of carbon dioxide in the land, ocean, and atmosphere, the course will survey the capture and sequestration of CO2 from anthropogenic sources. Emphasis will be placed on the integration of materials synthesis and unit operation design, including the chemistry and engineering aspects of sequestration. The course primarily addresses scientific and engineering challenges and aims
to engage students in state-of-the-art research in global energy challenges.
Energy Solutions: Carbon Capture and Sequestration: Read More [+]

Terms offered: Fall 2015, Fall 2014, Fall 2013
After an introduction to the different aspects of our global energy consumption, the course will focus on the role of biomass. The course will illustrate how the global scale of energy guides the biomass research. Emphasis will be places on the integration of the biological aspects (crop selection, harvesting, storage, and distribution, and chemical composition of biomass) with the chemical aspects to convert biomass to energy. The course aims
to engage students in state-of-art research.
The Berkeley Lectures on Energy: Energy from Biomass: Read More [+]

Terms offered: Spring 2024, Spring 2023
An introduction to mathematical optimization, statistical models, and advances in machine learning for the physical sciences. Machine learning prerequisites are introduced including local and global optimization, various statistical and clustering models, and early meta-heuristic methods such as genetic algorithms and artificial neural networks. Building on this foundation, current machine learning techniques are covered including deep learning artificial
neural networks, Convolutional neural networks, Recurrent and long short term memory (LSTM) networks, graph neural networks, decision trees.
Machine Learning, Statistical Models, and Optimization for Molecular Problems: Read More [+]

Terms offered: Spring 2013, Fall 2009, Fall 2008
Selected topics on nuclear structure and nuclear reactions.

Advanced Nuclear Structure and Reactions: Read More [+]

Terms offered: Fall 2024, Fall 2023, Fall 2022
An introduction to group theory, symmetry, and representations as applied to chemical bonding.

Introduction to Bonding Theory: Read More [+]

Terms offered: Spring 2015, Spring 2014, Spring 2013
The theory of vibrational analysis and spectroscopy as applied to inorganic compounds.

Inorganic Spectroscopy: Read More [+]

Terms offered: Fall 2018, Fall 2017, Fall 2016
Structure and bonding, synthesis, and reactions of the d-transition metals and their compounds.

Coordination Chemistry I: Read More [+]

Terms offered: Spring 2019, Spring 2018, Spring 2014
Synthesis, structure analysis, and reactivity patterns in terms of symmetry orbitals.

Coordination Chemistry II: Read More [+]

Terms offered: Fall 2024, Fall 2022, Fall 2021
An introduction to organometallics, focusing on structure, bonding, and reactivity.

Organometallic Chemistry I: Read More [+]

Terms offered: Fall 2024, Fall 2022, Fall 2021
Applications of organometallic compounds in synthesis with an emphasis on catalysis.

Organometallic Chemistry II: Read More [+]

Terms offered: Spring 2023, Spring 2022, Fall 2019
Introduction to the descriptive crystal chemistry and electronic band structures of extended solids.

Materials Chemistry I: Read More [+]

Terms offered: Spring 2023, Spring 2022, Fall 2019
General solid state synthesis and characterization techniques as well as a survey of important physical phenomena including optical, electrical, and magnetic properties.

Materials Chemistry II: Read More [+]

Terms offered: Spring 2023, Spring 2022, Fall 2019
Introduction to surface catalysis, organic solids, and nanoscience. Thermodynamics and kinetics of solid state diffusion and reaction will be covered.

Materials Chemistry III: Read More [+]

Terms offered: Spring 2015, Spring 2014, Spring 2013
A survey of the roles of metals in biology, taught as a tutorial involving class presentations.

Bioinorganic Chemistry: Read More [+]

Terms offered: Fall 2024, Fall 2023, Fall 2022
Advanced methods for studying organic reaction mechanisms. Topics include kinetic isotope effects, behavior of reactive intermediates, chain reactions, concerted reactions, molecular orbital theory and aromaticity, solvent and substituent effects, linear free energy relationships, photochemistry.

Reaction Mechanisms: Read More [+]

Terms offered: Fall 2024, Fall 2023, Fall 2022
Features of the reactions that comprise the vocabulary of synthetic organic chemistry.

Organic Reactions I: Read More [+]

Terms offered: Fall 2024, Fall 2023, Fall 2022
More reactions that are useful to the practice of synthetic organic chemistry.

Organic Reaction II: Read More [+]

Terms offered: Fall 2013, Fall 2012, Fall 2011
This course will consider further reactions with an emphasis on pericyclic reactions such as cycloadditions, electrocyclizations, and sigmatropic rearrangements.

Organic Reactions III: Read More [+]

Terms offered: Spring 2024, Spring 2023, Spring 2022
Transition metal-mediated reactions occupy a central role in asymmetric catalysis and the synthesis of complex molecules. This course will describe the general principles of transition metal reactivity, coordination chemistry, and stereoselection. This module will also emphasize useful methods for the analysis of these reactions.

Metals in Organic Synthesis: Read More [+]

Terms offered: Spring 2024, Spring 2023, Spring 2022
This course will provide an exposure to the range of catalytic reactions of organometallic systems, the identity of the catalysts for these reactions, and the scope and limitations of these reactions. Emphasis will be placed on understanding the mechanisms of hom*ogeneous catalytic processes. Students will see the types of molecular fragments generated by catalytic organometallic chemistry and see the synthetic disconnections made possible
by these reactions. The scope of transformations will encompass those forming commodity chemicals on large scale, pharmaceuticals on small scale, and both commodity and specialty polymers
Synthetic Design I: Read More [+]

Terms offered: Spring 2024, Spring 2023, Spring 2022
This course will provide an exposure to the range of catalytic reactions of organometallic systems, the identity of the catalysts for these reactions, and the scope and limitations of these reactions. Emphasis will be placed on understanding the mechanisms of hom*ogeneous catalytic processes. Students will see the types of molecular fragments generated by catalytic organometallic chemistry and see the synthetic disconnections made possible
by these reactions. The scope of transformations will encompass those forming commodity chemicals on large scale, pharmaceuticals on small scale, and both commodity and specialty polymers.
Synthetic Design II: Read More [+]

Terms offered: Spring 2024, Spring 2023, Spring 2022
The theory behind practical nuclear magnetic resonance spectroscopy and a survey of its applications to chemical research.

Nuclear Magnetic Resonance Theory and Application: Read More [+]

Terms offered: Spring 2023, Spring 2022, Spring 2019
Principles, instrumentation, and application in mass spectrometry, including ionization methods, mass analyzers, spectral interpretation, multidimensional methods (GC/MS, HPLC/MS, MS/MS), with emphasis on small organic molcules and bioanalytical applications (proteins, peptides, nucleic acids, carbohydrates, noncovalent complexes); this will include the opportunity to be trained and checked out on several open-access mass spectrometers.

Mass Spectrometry: Read More [+]

Terms offered: Spring 2024, Spring 2023, Spring 2022
Underlying principles and applications of methods for biophysical analysis of biological macromolecules.

Advanced Biophysical Chemistry I: Read More [+]

Terms offered: Spring 2024, Spring 2023, Spring 2022
More applications of methods for biophysical analysis of biological macromolecules.

Advanced Biophysical Chemistry II: Read More [+]

Terms offered: Spring 2024, Spring 2023, Spring 2022
This course will present the structure of proteins, nucleic acids, and oligosaccharides from the perspective of organic chemistry. Modern methods for the synthesis and purification of these molecules will also be presented.

Chemical Biology I - Structure, Synthesis and Function of Biomolecules: Read More [+]

Terms offered: Spring 2024, Spring 2023, Spring 2022
This course will focus on the principles of enzyme catalysis. The course will begin with an introduction of the general concepts of enzyme catalysis which will be followed by detailed examples that will examine the chemistry behind the reactions and the three-dimensional structures that carry out the transformations.

Chemical Biology II - Enzyme Reaction Mechanisms: Read More [+]

Terms offered: Spring 2024, Spring 2023, Spring 2022
This course will build on the principles discussed in Chemical Biology I and II. The focus will consist of case studies where rigorous chemical approaches have been brought to bear on biological questions. Potential subject areas will include signal transduction, photosynthesis, immunology, virology, and cancer. For each topic, the appropriate bioanalytical techniques will be emphasized.

Chemical Biology III - Contemporary Topics in Chemical Biology: Read More [+]

Terms offered: Fall 2024, Fall 2023, Fall 2022
Course provides in-depth coverage of programming concepts and techniques required for
scientific computing, data science, and high-performance computing using C++ and Python. Course will compare and contrast the functionalities of the two languages. Topics include classes,
overloading, data abstraction, information hiding, encapsulation, file processing, exceptions, and
low-level language features. Exercises based on molecular science
problems will
provide hands-on experience needed to learn these languages. Course serves as a
prereq to later MSSE courses: Data Science, Machine Learning Algorithms, Software
Engineering for Scientific Computing, Numerical Algorithms Applied to Computational Quantum
Chemistry, and Applications Parallel Comp.

Programming Languages for Molecular Sciences: Python and C++: Read More [+]

Terms offered: Fall 2024, Fall 2023, Fall 2022
Course will advance students’ understanding of fundamental knowledge and techniques for
developing complex software. Students will gain an in-depth view of computer system
architecture as well as abstraction techniques as means to manage program complexity. Students
will collaboratively develop a software engineering package, gaining experience in all
aspects of the software development process. Course serves as a prerequisite
to later MSSE
courses: Data Science, Machine Learning Algorithms, Software Engineering for Scientific
Computing, Numerical Algorithms Applied to Computational Quantum Chemistry, and
Applications of Parallel Computers

Software Engineering Fundamentals for Molecular Sciences: Read More [+]

Terms offered: Fall 2021, Fall 2020
This course provides in-depth coverage of programming concepts and techniques required for scientific computing, data science, and high-performance computing using C++ and Python. The course will compare and contrast the functionalities of the two languages. Topics include classes, overloading, data abstraction, information hiding, encapsulation, inheritance, polymorphism, file processing, templates, exceptions, container classes, and low-level language features.
Numerous exercises based on molecular science problems will provide the hands-on experience needed to learn these languages
Introduction to Programming Languages C++ and Python: Read More [+]

Terms offered: Fall 2021, Fall 2020
This course will advance students’ understanding of the different steps involved in software design. Students will acquire hands-on experience in practical problems such as specifying, designing, building, testing, and delivering reliable software systems for scientific computing. Students will collaboratively develop a software engineering package, thus gaining experience in all aspects of the software development process from the feasibility study to the
final delivery of the product. This course is a prerequisite to MSSE courses in Software Engineering for Scientific Computing, Computational Chemistry and Materials Science, and Parallel Computing.
Introduction to Software Engineering Best Practices: Read More [+]

Terms offered: Fall 2024, Spring 2024, Fall 2023
An introduction to mathematical optimization and statistics and "non-algorithmic" computation using machine learning. Machine learning prerequisites are introduced including local and global optimization, various statistical and clustering models, and early meta-heuristic methods such as genetic algorithms and artificial neural networks. Building on this foundation, current machine learning techniques are covered including Deep Learning
networks, Convolutional neural networks, Recurrent and long short term memory (LSTM) networks, and support vector machines and Gaussian ridge regression. Various case studies in applying optimization, statistical modeling, and machine learning methods as classification and regression task
Machine Learning Algorithms: Read More [+]

Terms offered: Fall 2024, Fall 2023, Fall 2022
This course will expose students to applied ethics in professional ethics, information technology, intellectual property, and corporate ethics that are topic relevant to the MSSE degree.

Ethical Topics for Professional Software Engineering: Read More [+]

Terms offered: Fall 2024, Spring 2024, Fall 2023
Introduction to numerical algorithms, their application to computational quantum chemistry, and best practices for software implementation and reuse. This course covers a toolbox of useful algorithms from applied mathematics that are used in physical simulations. Illustrated via computer implementation of density functional theory for modeling chemical reaction mechanisms from quantum mechanics. Topics covered include local optimization, numerical
derivatives and integration, dense linear algebra the symmetric eigenvalue problem, the singular value decomposition, and the fast Fourier transform. Students are guided through principles of procedural and object-oriented programming C++ and usage of efficient numerical libraries..
Numerical Algorithms applied to Computational Quantum Chemistry: Read More [+]

Terms offered: Fall 2024, Fall 2023, Fall 2022
This course provides an overview of topics relevant to programming and creating software projects. The course will be taught in collaboration with members of the Molecular Sciences Software Institute (MolSII). Students will learn basic syntax, use cases, and ecosystems for Python and C++. Students will become familiar with tools and practices commonly used in software development such as version control, documentation, and testing. Central to this
course is a hands on molecular simulation project where students work in groups to create a software package using concepts taught in the course.
Foundations of Programming and Software Engineering for Molecular Sciences: Read More [+]

Terms offered: Fall 2024, Spring 2024, Fall 2023
The course covers computer architecture and software features that have the
greatest impact on performance. It addresses debugging and performance tunning, detecting
memory and stack overwrites, malloc corruption, hotspot, paging, cache misses. A toolbox with
common algorithms: sorting, searching, hashing, trees, graph traversing, is followed by common
patterns used in object-oriented design. It describes programming paradigms
, dynamic libraries,
distributed architectures, and services. Lectures on linear algebra and performance libraries are
provided as background for future courses. HPC paradigms and GPU programming are introduced.
Software packaging, extensibility, and interactivity is followed by team development, testing and
hardening.

Software Engineering for Scientific Computing: Read More [+]

Terms offered: Spring 2024, Spring 2023, Spring 2022
This boot camp for the Master of Molecular Science and Software Engineering program is a two-week intensive course that introduces program participants to the leadership, management and entrepreneurial skills necessary in today’s professional environment. Using the capstone project as a baseline, this course aims to provide program participants an understanding of the key aspects of management and leadership disciplines; team and organization
dynamics; leading and participating in cross functional teams; engineering economic, finance and accounting concepts; effective communication skills and project management.
MSSE Leadership Bootcamp: Read More [+]

Terms offered: Spring 2024, Spring 2023, Spring 2022
This course provides students with a multifaceted experience managing a project involving the application and development of software for Computational Sciences. Students exercise leadership, team building, and critical thinking skills resulting in a Capstone project deliverables and final report. Capstone projects are an essential part of the MSSE program because students transfer skills learned in other MSSE courses to a real-world application
in particular applying several software engineering, algorithmic and scientific concepts This course is also designed to be tightly integrated with MSSE’s Leadership Bootcamp. Capstone projects are developed with MSSE industrial and academic partners, individually or in cross-functional teams.
MSSE Capstone Project Course: Read More [+]

Terms offered: Fall 2024, Spring 2024, Fall 2023
Lecture series on topics of current interest. Recently offered topics: Natural products synthesis, molecular dynamics, statistical mechanics, molecular spectroscopy, structural biophysics, organic polymers, electronic structure of molecules and bio-organic chemistry.

Special Topics: Read More [+]

Terms offered: Fall 2024, Spring 2024, Fall 2023
In addition to the weekly Graduate Research Conference and weekly seminars on topics of interest in biophysical, organic, physical, nuclear, and inorganic chemistry, there are group seminars on specific fields of research. Seminars will be announced at the beginning of each semester.

Seminars for Graduate Students: Read More [+]

Terms offered: Fall 2024, Spring 2024, Fall 2023
Facilities are available to graduate students pursuing original investigations toward an advanced
degree in Chemistry or related fields at the University of California, Berkeley. Investigations may
include experiment, theory, data analysis, and dissemination of accomplishments or discoveries
in the form of oral and written presentations or manuscripts submitted for peer-reviewed
publication. Such work is done under the supervision
and direction of a faculty member or their
designee.

Research for Graduate Students: Read More [+]

Terms offered: Fall 2024, Spring 2024, Fall 2023
Discussion, curriculum development, class observation, and practice teaching in chemistry.

Professional Preparation: Supervised Teaching of Chemistry: Read More [+]

Terms offered: Fall 2024, Fall 2023, Spring 2023
Provides training and opportunity for graduate students to make presentations in local public schools. Training ensures that presenters are aware of scientific information mandated by the State of California for particular grade levels, and that presentations are intellectually stimulating, relevant to the classroom students' interests, and age-appropriate. Time commitment an average of two to three hours/week, but actual time spent is concentrated
during preparation and classroom delivery of presentations, which are coordinated between teachers' needs and volunteers' availability.
Pre-High School Chemistry Classroom Immersion: Read More [+]

Terms offered: Fall 2017, Spring 2017, Fall 2016
Tutoring of students in 1AL and 1B laboratory. Students attend one hour of the regular GSI preparatory meeting and hold one office hour per week to answer questions about laboratory assignments.

Undergraduate Lab Instruction: Read More [+]

Terms offered: Fall 2017, Spring 2017, Fall 2016
Tutoring of students in 1A-1B. Students attend a weekly meeting on tutoring methods at the Student Learning Center and attend 1A-1B lectures.

Undergraduate Chemistry Instruction: Read More [+]

Terms offered: Spring 2024, Spring 2020, Fall 2019
The Chemistry Undergraduate Teacher Scholar Program places undergraduate students as apprentice instructors in lower division laboratory and discussion sections. In a weekly meeting with instructors, participants learn about teaching, review chemistry knowledge, and are coached to mentor students.

Chemistry Teacher Scholars: Read More [+]

Terms offered: Fall 2017, Spring 2017, Fall 2016
Tutoring of students enrolled in an undergraduate chemistry course.

Undergraduate Chemistry Course Instruction: Read More [+]

Terms offered: Spring 2015, Spring 2014, Spring 2013

Undergraduate Preparation for Teaching or Instruction in Teaching: Read More [+]

Terms offered: Fall 2017, Spring 2017, Fall 2016
Tutoring of students in the College of Chemistry Scholars Program who are enrolled in general or organic chemistry. Students attend a weekly meeting with instructors.

Supervised Instruction of Chemistry Scholars: Read More [+]

Terms offered: Fall 2024, Fall 2023, Fall 2021
Discussion, curriculum development, class observation, and practice teaching in chemistry.

Professional Preparation: Supervised Teaching of Chemistry: Read More [+]

Terms offered: Fall 2017, Spring 2017, Fall 2016
Individual study in consultation with the major field adviser, intended to provide an opportunity for qualified students to prepare themselves for the various examinations required of candidates for the Ph.D. degree. May not be used for unit or residence requirements for the doctoral degree.

Individual Study for Doctoral Students: Read More [+]

Terms offered: Spring 2023, Spring 2022, Spring 2021
Weekly Graduate colloquium on topics of interest in QB3 research.

QB3 Colloquium for Graduate Students: Read More [+]

Chemistry | Berkeley Academic Guide (2024)
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