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Course Criteria
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3.00 Credits
Introduction to the major theories and methods of translation in the Western tradition, along with practical work in translating. Topics include translation in the context of postcolonialism, globalization and immigration, the role of translators in war and zones of conflict, gender and translation, the importance of translation to contemporary writers. - P. Connor Prerequisites: Completion of the Language Requirement or equivalent. 3 points
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3.00 Credits
Using Novels as our primary sources, we will examine the massive social upheavals experienced in the US and USSR during the onslaught of the Great Depression and the rise of High Stalinism. The syllabus includes texts by F. Scott Fitsgerald, Yuri Olesha, William Faulkner, Abdrei Platonov, John Dos Passos, Valentine Kataev, Mikhail Bulgakov, and Richard Wright, as well as supplementary readings in history and literary theory. All readings in English. - K Holt 3 points
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3.00 Credits
Fundamentals of computer organization and digital logic. Boolean algebra, Karnaugh maps, basic gates and components, flipflops and latches, counters and state machines, basics of combinational and sequential digital design. Assembly language, instruction sets, ALU's, single-cycle and multi-cycle processor design, introduction to pipelined processors, caches, and virtual memory. Prerequisites: An introductory programming course. General Education Requirement: Quantitative and Deductive Reasoning (QUA). Lect: 3. 3 pts
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3.00 Credits
Practical aspects of computer hardware design through the implementation, simulation, and prototyping of a PDP-8 processor. High-level and assembly languages, I/O, interrupts, datapath and control design, piplelining, busses, memory architecture. Programmable logic and hardware prototyping with FPGAs. Fundamentals of VHDL for register-transfer level design. Testing and validation of hardware. Hands-on use of industry CAD tools for simulation and synthesis. Lab required. Prerequisites: ELEN E3331 plus ELEN E3910 or CSEE W3827. General Education Requirement: Quantitative and Deductive Reasoning (QUA). Not offered in 2009-2010. Lect: 2. 3 pts
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3.00 Credits
An introduction to modern digital system design. Advanced topics in digital logic: controller synthesis (Mealy and Moore machines); adders and multipliers; structured logic blocks (PLDs, PALs, ROMs); iterative circuits. Modern design methodology: register transfer level modelling (RTL); algorithmic state machines (ASMs); introduction to hardware description languages (VHDL or Verilog); system-level modelling and simulation; design examples. - S. Nowick Prerequisites: CSEE 3827, or a half semester introduction to digital logic, or the equivalent. General Education Requirement: Quantitative and Deductive Reasoning (QUA). Lect: 3. 3 pts.
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3.00 Credits
Focuses on advanced topics in modern computer architecture, illustrated by recent case studies. Fundamentals of quantitative analysis. Pipelined, out-of-order, and speculative execution. Superscalar, VLIW and vector processors. Embedded processors. Memory hierarchy design. Multiprocessors and thread-level parallelism. Synchronization and cache coherence protocols. Interconnection networks. - L. Carloni Prerequisites: CSEE W3827 or the equivalent. General Education Requirement: Quantitative and Deductive Reasoning (QUA). Lect: 3. 3 pts.
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3.00 Credits
Dynamic logic, field programmable gate arrays, logic design languages, multipliers. Special techniques for multi-level NAND and NOR gate circuits. Clocking schemes for one- and two-phase systems. Fault checking: scan method, built-in-test. Survey of logic simulation methods. Other topics to be added as appropriate. Prerequisites: CSEE W3827. General Education Requirement: Quantitative and Deductive Reasoning (QUA). Not offered in 2009-2010. Lect: 3. 3 pts.
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3.00 Credits
Embedded system design and implementation combining hardware and software. I/O, interfacing, and peripherals. Weekly laboratory sessions and term project on design of a microprocessor-based embedded system including at least one custom peripheral. Knowledge of C programming and digital logic required. - S. Edwards Prerequisites: CSEE W4823. Lab Required. General Education Requirement: Quantitative and Deductive Reasoning (QUA). Lect: 3. 3 pts.
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3.00 Credits
Introduction to the design and analysis of efficient algorithms. Topics include models of computation, efficient sorting and searching, algorithms for algebraic problems, graph algorithms, dynamic programming, probabilistic methods, approximation algorithms, and NP-completeness. - M. Yannakakis Prerequisites: COMS W3137 or W3139, and W3203. General Education Requirement: Quantitative and Deductive Reasoning (QUA). Lect: 3.3pts.
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4.50 Credits
An interdisciplinary course designed to lay the foundation for the core of the Program, which is an extended apprenticeship with the student's mentor(s). - T. Halpin-Healy, TBA 4.5 points C.N. - 06732
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