Hands-on Computer Science tutor with engaging, problem-solving lessons

Dr. Kaur recently guided Gergely through a detailed lesson on interpreting the results of a repeated measures ANOVA/ANCOVA conducted in R. Their focus was on dissecting the experimental design, understanding the specific R code, and making sense of statistical outputs concerning picture category, congruence, anxiety scale, reaction time, and error rate. They thoroughly examined descriptive statistics, t-tests, and ANOVA tables, with particular emphasis on interpreting interaction effects and their visual representations through plots. Gergely received advice to refine his hypothesis based on their analysis and to ensure consistency by committing to either JASP or R for his statistical work. This advanced application of R for statistical analysis follows earlier foundational R programming lessons, such as one where a student from the University of the Pacific in Stockton reviewed R basics, including variable and data types, and the practical use of `class()` and `type of()` functions. That prior lesson also involved practicing data type identification and implementing both arithmetic and relational operators, preparing the ground for upcoming topics like logical, assignment, and miscellaneous operators, along with an introduction to vectors and modules like Plotly.

Dr. Gurinderjeet Kaur taught Dylan about mathematical expressions and operator precedence in C++. Dylan gained practical experience by converting algebraic expressions into C++ code and learned about the `pow` function for handling exponents. For homework, Dylan was assigned to complete a C++ program calculating the area of a circle, applying the power concept discussed in their lesson.

During a recent lesson, Dr. Gurinderjeet Kaur guided Dylan through the essentials of using `cin` in C++ for user input, exploring its application across different data types. Dylan actively practiced these concepts by developing programs to calculate the area of a rectangle and to efficiently manage multiple inputs of varying data types within a single line. To further solidify his understanding, Dylan received an assignment to tackle unsolved questions pertinent to the C++ input mechanisms discussed.

Dr. Kaur discussed introductory statistics with a learner residing in Tucson, covering key terminologies like population, sample, variables, and the difference between descriptive and inferential statistics. The individual then worked through a numerical example to calculate standard deviation. Dr. Kaur assigned them to skim through the first chapter of the textbook, focusing on key definitions, in preparation for the next lesson.

Dr. Kaur assisted Dylan with debugging a C++ program designed for time unit conversion. During their lesson, they also reviewed fundamental programming concepts, including data types, operators, and constants, essential for C++ development. Dylan gained practical experience by correcting errors and applying mathematical logic in his code. They discussed potentially incorporating math tutoring into future lessons and scheduled their next meeting for Monday.

During their recent lesson, Dr. Kaur and Halima delved into several core JavaScript topics. These included switch statements, various loop structures (while, do-while, for), linked lists, object properties (specifically keys and values), and maps. Halima had particular questions regarding an example on page 217 and the concept of maps, which Dr. Kaur thoroughly clarified. Halima was encouraged to work through the examples and bring any specific doubts to their upcoming lesson.