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Analysis and Development Degrees in Massachusetts
- Bachelor's degree
- Maynard (USA)
- Different dates available
...Analysis I covers fundamentals of mathematical analysis: metric spaces, convergence of sequences and series, continuity, differentiability, Riemann integral, sequences and series of functions, uniformity, interchange of limit operations...
- Bachelor's degree
- Harvard (USA)
...and ability to perform well as a Harvard student. Apply to the program. While you are completing your second admission course, you submit your application...
- Master
- Maynard (USA)
- Different dates available
...This course is an introduction to the analytical tools that support design and decision-making in real estate and infrastructure development. There is a particular focus on identifying and valuing sources of flexibility using “real options”, Monte-Carlo simulation, and other techniques... Learn about: Real Estate...
- Master
- Harvard (USA)
... engineering, and web development. Develop an understanding of programming language in C, PHP, JavaScript, SQL, CSS, and HTML. Gain knowledge of fundamental data structures for information processing, including lists, stacks, queues, trees, and graphs. Become proficient in a focused topic area, such as C,...
- Bachelor's degree
- Maynard (USA)
- Different dates available
...This course continues from Analysis I (18.100B), in the direction of manifolds and global analysis. The first half of the course covers multivariable calculus. The rest of the course covers the theory of differential forms in n-dimensional vector spaces and manifolds...
- Master
- Harvard (USA)
...About The Web Technologies certificate is offered by Harvard University. Key learning outcomes: Master the fundamentals of website development, such as HTML5, XHTML, CSS, JavaScript, Ajax, multimedia, HTTP, and scripting languages. Build dynamic, database-driven web applications, such as... Learn about: Javascript training, Database training...
- Bachelor's degree
- Maynard (USA)
- Different dates available
...This course features a somewhat gentler introduction to the standard Analysis I material than the traditional course. It emphasizes one-variable analysis and de-emphasizes point-set topology. It assumes students did well in a standard single-variable calculus course...
- Bachelor's degree
- Maynard (USA)
- Different dates available
...This course continues the content covered in 18.100 Analysis I. Roughly half of the subject is devoted to the theory of the Lebesgue integral with applications to probability, and the other half to Fourier series and Fourier integrals...
- Bachelor's degree
- Maynard (USA)
- Different dates available
... an understanding and construction of proofs. MIT students may choose to take one of three versions of Real Analysis; this version offers three additional units of credit for instruction and practice in written and oral presentation... Learn about: Construction Training...
- Master
- Maynard (USA)
- Different dates available
..., computer vision, physiological analysis, and more. We also cover decision theory, statistical classification, maximum likelihood and Bayesian estimation, nonparametric methods, unsupervised learning and clustering. Additional topics on machine and human learning from active research are also talked...
- Master
- Maynard (USA)
- Different dates available
... world, ranging from growing income inequality and socio-economic exclusion, environmental challenges, and rising violence. Class sessions are discussion-based and focus on a critical analysis of the arguments presented in the readings...
- Bachelor's degree
- Maynard (USA)
- Different dates available
...Lectures: 2 sessions / week, 1.5 hours / session Analysis I (18.100); Linear Algebra (18.06), Linear Algebra (18.700), or Algebra I (18...
- Master
- Maynard (USA)
- Different dates available
... courses. Goals of this course: A course in linear algebra (preferably abstract) and a course in real analysis, such as 18.06 and 18.100. Proofs will matter...
- Master
- Maynard (USA)
- Different dates available
... attention will be placed on limitations and pitfalls of different methods and their potential fixes. The course will also emphasize recent developments...
- Master
- Maynard (USA)
- Different dates available
... in the "Leadership Lunch" story-telling series to share their experiences and to provide recommendations. Discussions help explore and further probe leadership development. The learning experience culminates in a personal leadership plan...
- Master
- Maynard (USA)
- Different dates available
...Most algorithms in computer vision and image analysis can be understood in terms of two important components: a representation and a modeling/estimation algorithm. The representation defines what information is important about the objects and is used to describe them. The modeling techniques...
- Bachelor's degree
- Maynard (USA)
- Different dates available
...This course offers a comprehensive introduction to the field of program analysis. It covers some of the major forms of program analysis including Type Checking, Abstract Interpretation and Model Checking. For each of these, the course covers the underlying theories as well as modern techniques...
- Bachelor's degree
- Maynard (USA)
- Different dates available
...This course is an introduction to statistical data analysis. Topics are chosen from applied probability, sampling, estimation, hypothesis testing, linear regression, analysis of variance, categorical data analysis, and nonparametric statistics... Learn about: Data analysis...
- Bachelor's degree
- Maynard (USA)
- Different dates available
... to policy analysis by considering the concepts, tools, and methods used in economics, political science, and other disciplines. Students apply and critique these approaches through case studies of current public policy problems...
- Bachelor's degree
- Maynard (USA)
- Different dates available
...This is an intermediate algorithms course with an emphasis on teaching techniques for the design and analysis of efficient algorithms, emphasizing methods of application. Topics include divide-and-conquer, randomization, dynamic programming, greedy algorithms, incremental improvement, complexity...