期末考未屆,下學期的選課系統已經開始運轉了呢。其實這學期中間我就時常細(肖)想接下來的五個學期要怎麼塞課。剛來這邊,要追通識課已經很煩了,導師又不肯讓我多堆點有趣的課來平衡一下。雖說之後選課都隨便我,但作為轉學生已經少一年可以讀了,想要在未來消化掉這學期沒能上到的課,變得更吃緊些。

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。

除此之外,我會修點程式課。我一直想要認真學寫程式,卻礙於惰性沒能實現。電機資訊系(放在同一個系沒錯)可是這裡的招牌呀。有幸能來到這地方,不把握機會學點功夫真太可惜了。

唉呀,要是沒有好長好長的回憶提醒,說什麼也不會相信自己從前是那麼喜歡化學吧。施老拜託別把我這叛徒給滅口了。

現在放上來的文章好像都是學術類的喔。雖說我不是除了讀書就沒思想了,但這邊確實很適合學習。幾個夥伴(台灣同學很多很熱鬧)約一起K書、寫習題是常有的事。聊天的內容也可以是自己最近學的東西、專題研究的內容。這在台大是很難得的呢。

以下是下學期有考慮的課,最終應該會選七門左右。

 


 

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."

很硬的JAVA程式課,教怎麼寫出好的軟體。工作量大約是兩門課。我有其他兩個朋友也要修這個,可以一起作期末專題。專題很怕夥伴不好,變成大家一起爆炸。

 

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: ???

這課是設計給大二修的。可以的話我想寒假自學然後考免修。實在不應該把時間用來學簡單的東西。再怎麼說寫作業都滿花時間的。 

 

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: ???

這學期的量子力學的續集。我覺得這部份先學好,比較有機會和教授作非打雜的研究,所以一過來就從大三的量子力學開始上。我在台大的課倒沒有白學。線性代數、複變這些數學基礎讓我學起量子力學格外輕鬆。朝向量子場論邁進吧。

 

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: ???

自從找了個研究電波望遠鏡的專題後,就有點想修個電動力學來訓練自己的硬爆能力。唉,我大一學的電磁學時都在抄解答,考試也是背習題。現在真是快忘光了。

 

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

等於台灣的高等微積分。這個的功用大概是訓練數學能力吧。我大一本來沒要多學數學,但現在有一點改變想法。



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

一個非常不花時間又重要的數學課。如果未來想挑戰研究所的統計力學會有幫助。但我承認是看在很涼的份上想來修的。

 

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

這是少數台灣學生不會吃虧的通識了吧(除了中文)。明顯的功用是可以幫助我宅化。另外集滿四門日文課可以暑假去日本的公司或研究機構實習。

 

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

一個簡單又有意思的通識課。由於和8.298衝堂,有機會被我丟到以後的學期,

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