Alexander is a first-year university student excelling in his Bachelor of Science degree. His impressive academic record includes being on the Deanβs Honour List and achieving a high ATAR equivalent score through the International Baccalaureate Diploma Programme. This strong educational background ensures he possesses a deep understanding of Maths and English, making him well-equipped to support your child''s learning journey.
With experience as a peer mentor at university, Alexander has honed his ability to guide and support students. He has successfully managed groups of new students, offering weekly check-ins and providing assistance for their smooth transition into university life. His leadership skills are further demonstrated by his role in various student-led initiatives, showcasing his commitment to helping others succeed academically.
Alexander''s passion for teaching extends beyond academics; he holds a black belt in Taekwondo and has dedicated time to teach younger students and serve as an examiner in gradings. His involvement in sports has fostered valuable qualities such as teamwork, effective communication, and performing under pressure. These attributes contribute to his dynamic approach to tutoring, ensuring that lessons are engaging, supportive, and tailored to each student''s needs.
Recent Tutoring Comments:
Identification and classification of different types of networks, Adjacency matrices.
Identification and classification of different types of networks, Adjacency matrices.
Familiarising with Djikstra's and Prim's algorithms.
Trasnlating between prcedence tables and activity networks, Better grip on Dijkstra's algorithm.
Trasnlating between prcedence tables and activity networks, Better grip on Dijkstra's algorithm.
Finding critical path (deriving earliest start time and latest start time).
Direct variation and inverse variation (finding the constant of variation and extrapolating values).
Direct variation and inverse variation (finding the constant of variation and extrapolating values).
Data transformations (remembering to transform data when linearising), Logarithms.
Describing relationships between two variables, identifiying appropriate graphs to use to display information, Calculator proficiency to find regression line and ...
Describing relationships between two variables, identifiying appropriate graphs to use to display information, Calculator proficiency to find regression line and standard deviation.
Linear equations (finding gradient and y-intercept and interpreting their meaning).