This course will cover topics related to the broad issue of detecting and measuring network interference. This will include topics such as traffic differentiation, network neutrality, surveillance, and blocking/censorship of content. The course will focus on network measurement tools and techniques in the context of detecting and observing manipulations and interference with network traffic. When relevant, historical and ethical/legal context will be discussed in relation to these topics.

This course will cover topics related to the broad issue of detecting and measuring network interference. This will include topics such as traffic differentiation, network neutrality, surveillance, and blocking/censorship of content. The course will focus on network measurement tools and techniques in the context of detecting and observing manipulations and interference with network traffic. When relevant, historical and ethical/legal context will be discussed in relation to these topics.

This course will cover topics related to the broad issue of detecting and measuring network interference. This will include topics such as traffic differentiation, network neutrality, surveillance, and blocking/censorship of content. The course will focus on network measurement tools and techniques in the context of detecting and observing manipulations and interference with network traffic. When relevant, historical and ethical/legal context will be discussed in relation to these topics.

Advanced programming techniques in the Java language focusing on abstract data types. Specific topics include linked structures, recursive structures and algorithms, tree-based structures, and hash tables. Elementary techniques of software engineering, including documentation, coding style, basic testing principles, and informal reasoning about correctness. Weekly programming assignments, discussion section exercises, and multiple exams. Honors Enrichment: Honors students will be learning about advanced data structures that are not covered in the non-honors course.

Advanced programming techniques in the Java language focusing on abstract data types. Specific topics include linked structures, recursive structures and algorithms, tree-based structures, and hash tables. Elementary techniques of software engineering, including documentation, coding style, basic testing principles, and informal reasoning about correctness. Weekly programming assignments, discussion section exercises, and multiple exams. Honors Enrichment: Honors students will be learning about advanced data structures that are not covered in the non-honors course.

Advanced programming techniques in the Java language focusing on abstract data types. Specific topics include linked structures, recursive structures and algorithms, tree-based structures, and hash tables. Elementary techniques of software engineering, including documentation, coding style, basic testing principles, and informal reasoning about correctness. Weekly programming assignments, discussion section exercises, and multiple exams. Honors Enrichment: Honors students will be learning about advanced data structures that are not covered in the non-honors course.

Advanced programming techniques in the Java language focusing on abstract data types. Specific topics include linked structures, recursive structures and algorithms, tree-based structures, and hash tables. Elementary techniques of software engineering, including documentation, coding style, basic testing principles, and informal reasoning about correctness. Weekly programming assignments, discussion section exercises, and multiple exams. Honors Enrichment: Honors students will be learning about advanced data structures that are not covered in the non-honors course.

Advanced programming techniques in the Java language focusing on abstract data types. Specific topics include linked structures, recursive structures and algorithms, tree-based structures, and hash tables. Elementary techniques of software engineering, including documentation, coding style, basic testing principles, and informal reasoning about correctness. Weekly programming assignments, discussion section exercises, and multiple exams. Honors Enrichment: Honors students will be learning about advanced data structures that are not covered in the non-honors course.

The main goal of this course is to prepare students with advanced computing skills for a career as a statistician or data analyst/scientist. By the end of this course, you should be able have mastery over the fundamentals of the R programming language, including concepts such as functional programming and meta programming.