2 Classes (21 Units)15.071 (12), 15.467 (9)
15.071 The Analytics Edge
Examines how data analytics is used to transform businesses and industries, using examples and case studies in e-commerce, healthcare, social media, high technology, sports, the internet, and beyond. Demonstrates the use of analytics methods such as linear regression, logistic regression, classification trees, random forests, text analytics, social network analysis, time series modeling, clustering, and optimization. Uses R programming language. Includes team projects. Meets with 15.0711 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.
This class has 15.060 as a prerequisite.
15.071 will be offered this semester (Spring 2019). It is instructed by R. Freund.
Lecture occurs 4:00 PM to 5:30 PM on Mondays and Wednesdays in E51-315.
This class counts for a total of 12 credits.
You can find more information at the http://www.google.com/search?&q=MIT+%2B+15.071&btnG=Google+Search&inurl=https site.
15.467 Asset Management, Lifecycle Investing, and Retirement Finance
Built for students focused on financial services careers - professional asset management, financial product design, trading, sales, consulting, or regulatory oversight of the financial industry. Applies finance science and financial engineering tools and theory to asset management, lifecycle investing, and retirement finance. Focuses on foundational analytical tools students will rely upon throughout their careers - derivative pricing and risk measurement, portfolio analysis and risk accounting, and performance measurement to analyze and implement concepts and new product ideas. Students should be familiar with basic portfolio-selection theory, CAPM, options, futures, swaps and other derivative securities. Preference to MBA and MFin students.
This class has 15.433 as a prerequisite.
15.467 will be offered this semester (Spring 2019). It is instructed by R. Merton.
Lecture occurs 1:00 PM to 2:30 PM on Mondays and Wednesdays in E62-276.
This class counts for a total of 9 credits.
You can find more information at the MIT + 15.467 - Google Search site.
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