目前的計畫還挺貪心的。物理我這學期上8.05 Quantum Physics II,這之下的二年級課我都不打算回頭修。能免修的就盡量考掉吧。物理課我最少要修到8.323 Relativistic Quantum Field Theory I(量子場論)。這是各種物理研究共同的基礎。雖然我要分時間在其他領域,但可不能五技而窮。

化學部份基於雙主修要上太多實驗課,課表實在塞不下,現在只打算完成輔系而已。理想情況是把普化實驗以外的低等課也免修掉,明年去上5.43 Advanced Organic Chemistry。如果不給考,那我大概也不會為了沒啥用的象徵,再去學已經會的東西吧。







6.005 Elements of Software Construction

Introduction to the fundamental principles and techniques of software development that have greatest impact on practice. Topics include capturing the essence of a problem by recognizing and inventing suitable abstractions; key paradigms, including state machines, functional programming, and object-oriented programming; use of design patterns to bridge gap between models and code; the role of interfaces and specification in achieving modularity and decoupling; reasoning about code using invariants; testing, test-case generation and coverage; essentials of programming with objects, functions, and abstract types. Includes exercises in modeling, design, implementation and reasoning.

Instructor: D. N. Jackson, R. C. Miller

"Take this if you are going to ever going to be developing or coding an application, ever. Any self-respecting programmer should set aside their 'I can hack it on my own' pride and take this course."



6.006 Introduction to Algorithms

Introduction to mathematical modeling of computational problems, as well as common algorithms, algorithmic paradigms, and data structures used to solve these problems. Emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques for these problems.

Instructor: R. L. Rivest, S. Devadas

"He's Rivest man. What an honor. The R of RSA. Craziness."

老師是Rivest耶,發明RSA非對稱加密的其中一人。雖說這個課和18.100B Analysis I是衝堂的(這裡可以衝堂選課),我可能不會時常出席。希望自己還能適應Python,目前只會寫C/C++。


8.044 Statistical Physics I

Introduction to probability, statistical mechanics, and thermodynamics. Random variables, joint and conditional probability densities, and functions of a random variable. Concepts of macroscopic variables and thermodynamic equilibrium, fundamental assumption of statistical mechanics, microcanonical and canonical ensembles. First, second, and third laws of thermodynamics. Numerous examples illustrating a wide variety of physical phenomena such as magnetism, polyatomic gases, thermal radiation, electrons in solids, and noise in electronic devices. Concurrent enrollment in 8.04 is recommended.

Instructor: ???



8.06 Quantum Physics III

Continuation of 8.05. Units: natural units, scales of microscopic phenomena, applications. Time-independent approximation methods: degenerate and nondegenerate perturbation theory, variational method, Born-Oppenheimer approximation, applications to atomic and molecular systems. The structure of one- and two-electron atoms: overview, spin-orbit and relativistic corrections, fine structure, variational approximation, screening, Zeeman and Stark effects. Charged particles in a magnetic field: Landau levels and integer quantum hall effect. Scattering: general principles, partial waves, review of one-dimension, low-energy approximations, resonance, Born approximation. Time-dependent perturbation theory. Students research and write a paper on a topic related to the content of 8.05 and 8.06.

Instructor: ???



8.298: Symmetry in Quantum Physics

After a general discussion of the use of symmetry and group theory in physics, we will develop the central mathematical ideas in their simplest contexts, and illustrate their use in quantum physics. We will then go deeper through case studies, heading for three high points: explaining how symmetry‐induced gaps explain the periodic table, the magic nuclei, and the occurrence of conductors and insulators; deriving the unusual – and very consequential – band structure of graphene; and indicating how symmetry guides us to a possible unification of the fundamental forces.

Instructor: F. Wilczek

不是每年都開設的專論課。老師是2004 Nobel Laureate,滿想聽他上課的說。


8.311 Electromagnetic Theory I

Basic principles of electromagnetism: experimental basis, electrostatics, magnetic fields of steady currents, motional emf and electromagnetic induction, Maxwell's equations, propagation and radiation of electromagnetic waves, electric and magnetic properties of matter, and conservation laws. Subject uses appropriate mathematics but emphasizes physical phenomena and principles.

Instructor: ???



18.100B Analysis I

Three options offered, each covering fundamentals of mathematical analysis: convergence of sequences and series, continuity, differentiability, Riemann integral, sequences and series of functions, uniformity, interchange of limit operations. Each option shows the utility of abstract concepts and teaches understanding and construction of proofs.
Option B: More demanding; for students with more mathematical maturity. Places more emphasis on point-set topology and n-space.

Instructor: R. B. Melrose


18.440 Probability and Random Variables

Probability spaces, random variables, distribution functions. Binomial, geometric, hypergeometric, Poisson distributions. Uniform, exponential, normal, gamma and beta distributions. Conditional probability, Bayes theorem, joint distributions. Chebyshev inequality, law of large numbers, and central limit theorem.

Instructor: J. A. Kelner



21F.502 Japanese II

Enhancement of the four basic skills. Extension of basic grammar. Vocabulary and kanji (Chinese characters) building. Lab work required. For graduate credit see 21F.552.

Instructor: Y. Nagaya



24.900 Introduction to Linguistics

Studies what is language and what does knowledge of a language consist of. It asks how do children learn languages and is language unique to humans; why are there many languages; how do languages change; is any language or dialect superior to another; and how are speech and writing related. Context for these and similar questions provided by basic examination of internal organization of sentences, words, and sound systems. Assumes no prior training in linguistics.

Instructor: S. Flynn


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