I This course provides an introduction to the principles and best practices in information security and privacy. Introduction to analysis of algorithms: However, you may you use your notes or textbook for quizzes. Application areas could change with each offering of the class, but would include some of the following: Late assignments will not be accepted.

This course provides insight into the way computers operate at the machine level. Homework 4, as well as Quiz 3, have been marked and are available for pickup in from of my office, Chase. Bring a blue-book and be prepared to stay in your seat during the entire exam Homework There will be no graded homework. The instructor will make the final decision. Gurunath Kadam Personal Website Office hours:

CSCI 303-02: Homework

However, we strongly recommend putting forth your best effort on all assignments, as they provide the best preparation for the exams. Midterm posted Sep Recurrences, the master theorem, divide and conquer: Section was given 2 rooms for the exam. For more information, please click here.

csci 303 homework 2

Students will learn about modern visualization techniques by reading and discussing research papers and implementing one of the algorithms described in the literature. More documentation can be found here.

They will be introduced to basic terminologies and homewoek of parallel computing, learn how to use MPI to develop parallel programs, and study how to design and analyze parallel algorithms. Homework Assignments and Reports should be submitted electronically no hard copies on Blackboard by VLSI design automation, computational biology, mobile computing, computer security, data compression, web search engines, geographical information systems.


csci 303 homework 2

You must submit electronically via Gradescope. Advanced sorting algorithms heapsort, radix sort. Equivalent with MACS, I, II This course introduces fundamental computer programming concepts using a high-level language and a modern development environment. Students in CSCI will be able to model homewoork analyze human behaviors geared toward human-robot interaction applications.

CS / – Introduction to Programming – Spring

Introduction to algorithm analysis, with emphasis on sorting and search routines. Godel, Escher Bach by Douglas Hofstadter. Topics include machine level instructions and operating system calls used to write programs in assembly language, computer arithmetics, performance, processor design, and pipelining techniques.

Exams The midterm and final will be closed book. Topics include overview of network architectures, applications, network programming interfaces e. Many practical approaches and most commonly used techniques will be considered and illustrated with real-life examples.

A popular procedural programming language will be learned by students and programming assignments will explore ideas in algorithm development, optimization, and data manipulation. Some worked-out examples of natural deduction are now on the website, see “Supplemental Cci below.

csci 303 homework 2

It also includes the discussion of the protection of the nation? System security, maintenance, recovery and definition.

It covers fundamentals of data mining theories and techniques. Several methods used in artificial intelligence such as search strategies, knowledge representation, logic and probabilistic reasoning are developed and applied to practical problems.


If you need help, show up in the office hours or ask questions in or after the class. Gurunath Kadam Personal Website Office hours: Students will also learn a variety of techniques to guide the software design process, including Cognitive Walkthrough, Talk-aloud and others.

COMPUTER SCIENCE (CSCI) < Colorado School of Mines

I, II, S Pilot course or special topics course. Language models, including formal languages, regular expressions, and grammars. Equivalent with MACS, II This hokework covers the network layer, data link layer, and physical layer of communication protocols in depth. Topics will include sequential computers including memory hierarchies, shared memory computers and multicore, distributed memory computers, graphical processing units GPUscloud and grid computing, threads, OpenMP, message passing MPICUDA for GPUsparallel file systems, and scientific applications.

Equivalent with CSCII An introduction to fundamental concepts of game theory with a focus on the applications in networks. The exam will be cumulative, and will focus on evaluating your understanding of material that was presented in the course but not central to the homework assignments e.