An interdisciplinary course which provides an introduction to modern concepts of the structure of atoms and of condensed matter. Nuclear, atomic and molecular bonding are discussed and applied to technologically important materials, including semi-conductors and macromolecules.

A course which is intended to deepen and enlarge the student's understanding of calculus. It introduces dynamical systems, probabilistic models, and differential equations as well as the following standard topics: properties of real numbers; limits and convergence; functions and continuity; differentiation and integration; exponential and other special functions; multivariate calculus.

An introduction to problem-solving, programming concepts and a general purpose programming language. Elements of data structures, algorithm analysis, software engineering and computer systems are covered. The assignments will be drawn from scientific areas particularly from Chemistry and Biochemistry, Mathematics and Statistics and Physics. It is highly recommended that students have a credit in a computer science course or substantial programming experience.

Principles of chemistry with a series of modules on thermodynamics, electrochemistry, kinetics of chemical reactions and aqueous equilibria including acids and bases, solubility and co-ordination chemistry.

Application of the derivative. Taylor series and polynomial approximation. Definite integrals, inverse functions, parametric equations, polar co-ordinates, asymptotic approximations. Symbolic computation. Numerical methods in differentiation and integration. Use of a scientific programming language, symbolic algebra package, and numerical subroutine libraries. Examples from the simulation of physical phenomena.

A calculus-based introduction to translational and rotational kinematics and dynamics, equilibrium of rigid objects, oscillations, special relativity, electric and magnetic fields, electrical conductivity, R-C circuits.

Components of a computer system, including memories, CPU, buses, and input/output techniques. Instruction sets, addressing modes, assembly/machine language programming. Selection of interface hardware for sensors, relays and other peripherals. Development of algorithms for data acquisition, display, and process control. This is a course offered jointly by Computing and Information Science and the School of Engineering.

A two-semester research project supervised by a faculty member from Physics or from Chemistry and Biochemistry, or by a pair of faculty members spanning the 2 departments in order to expand cross disciplinary opportunities. Students will participate in the seminar and reporting activities of either CHEM*4900, CHEM*4910 or PHYS*4500, PHYS*4510, and may utilize modules from PHYS*4500 as preparation if necessary. This is a two-semester course. When you select it you will beassigned to IPS*4001 in the Fall and IPS*4002 in the Winter semester. A grade will not be assigned to IPS*4001 until IPS*4002 has been completed.