# 5 Classes (42 Units)

**5.12**(12),

**6.0002**(6),

**18.03**(12),

**20.110**(12)

# 5.12 Organic Chemistry I

Introduction to organic chemistry. Development of basic principles to understand the structure and reactivity of organic molecules. Emphasis on substitution and elimination reactions and chemistry of the carbonyl group. Introduction to the chemistry of aromatic compounds.

This class has 3.091, and 5.111 as prerequisites.

5.12 will be offered this semester (Spring 2019). It is instructed by J. Johnson, C. Rotsides, R. Danheiser and C. Rotsides.

Lecture occurs 12:00 PM to 13:00 PM on Mondays, Wednesdays and Fridays in 10-250.

This class counts for a total of 12 credits.

You can find more information at the MIT + 5.12 - Google Search site or on the 5.12 Stellar site.

# 6.0002 Introduction to Computational Thinking and Data Science

Provides an introduction to using computation to understand real-world phenomena. Topics include plotting, stochastic programs, probability and statistics, random walks, Monte Carlo simulations, modeling data, optimization problems, and clustering. Meets with 6.00 second half of term. Credit cannot also be received for 6.00. Combination of 6.0001 and 6.0002 counts as REST subject.

This class has 6.0001 as a prerequisite.

6.0002 will be offered this semester (Spring 2019). It is instructed by A. Bell and J. V. Guttag.

Lecture occurs 3:00 PM to 4:30 PM on Mondays and Wednesdays in 26-100.

This class counts for a total of 6 credits.

You can find more information at the MIT + 6.0002 - Google Search site or on the 6.0002 Stellar site.

# 18.03 Differential Equations

Study of differential equations, including modeling physical systems. Solution of first-order ODEs by analytical, graphical, and numerical methods. Linear ODEs with constant coefficients. Complex numbers and exponentials. Inhomogeneous equations: polynomial, sinusoidal, and exponential inputs. Oscillations, damping, resonance. Fourier series. Matrices, eigenvalues, eigenvectors, diagonalization. First order linear systems: normal modes, matrix exponentials, variation of parameters. Heat equation, wave equation. Nonlinear autonomous systems: critical point analysis, phase plane diagrams.

This class has 18.02 as a corequisite.

18.03 will be offered this semester (Spring 2019). It is instructed by D. Jerison.

Lecture occurs 1:00 PM to 2:00 PM on Mondays, Wednesdays and Fridays in 26-100.

This class counts for a total of 12 credits.

You can find more information at the MIT + 18.03 - Google Search site or on the 18.03 Stellar site.

# 20.110 Thermodynamics of Biomolecular Systems

Equilibrium properties of macroscopic and microscopic systems. Basic thermodynamics: state of a system, state variables. Work, heat, first law of thermodynamics, thermochemistry. Second and third law of thermodynamics: entropy and its statistical basis, Gibbs function. Chemical equilibrium of reactions in gas and solution phase. Macromolecular structure and interactions in solution. Driving forces for molecular self-assembly. Binding cooperativity, solvation, titration of macromolecules.

This class has 18.02, 3.091, 5.111, and 8.01 as prerequisites.

20.110 will not be offered this semester. It will be available in the Fall semester, and will be instructed by M. Birnbaum C. Voigt.

Lecture occurs 10:00 AM to 11:00 AM on Mondays, Wednesdays and Fridays in 4-270.

This class counts for a total of 12 credits.

You can find more information at the MIT + 20.110 - Google Search site or on the 20.110 Stellar site.