Holdet 2023 ma/AISL/2 - Undervisningsbeskrivelse - Lectio - Å

Holdet 2023 ma/AISL/2 - Undervisningsbeskrivelse

Undervisningsbeskrivelse

Stamoplysninger til brug ved prøver til gymnasiale uddannelser

Termin(er)	2023/24 - 2024/25
Institution	Å - Ronni skemalægning skabelon 24/25
Fag og niveau	Matematik -
Lærer(e)	Frans Kappel Jensen
Hold	2023 ma/AISL/2 (IB1 maAISL/2, IB1 maAISL/2 study, IB2 maAISL/2)

Oversigt over gennemførte undervisningsforløb

Titel 1

Written curriculum

Beskrivelse af de enkelte undervisningsforløb (1 skema for hvert forløb)

Titel 1	Written curriculum Literature: I. Wazir, T. Garry, K. Frederick and B. Landmann, "Mathematics - Application and Interpretation for the IB Diploma SL", Pearson. Autumn 2023: 1.6 Approximation, rounded numbers, percentage errors and estimation 1.1 Scientific notation 1.5 Laws of exponents with integer exponents and logarithms with base 10 and e 1.8 Systems of linear equations and polynomial equations 2.1 Equation of a straight line 2.2 Concept of a function, domain, range. Inverse function. 2.4 Key features of graphs 2.5 Modelling with functions 2.6 Fitting models using regression 1.2 Arithmetic sequences and series 1.3 Geometric sequences and series 1.4 Financial application of geometric sequences and series 1.7 Amortizatinon and annuities using technology 3.1 3D solids and distance between two points 3.2 Trigonometric ratios, sine and cosine rules and area of triangle 3.3 Applications of trigonometry incl bearings 3.4 Length of arc and area of sector 3.5 Perpendicular bisectors 3.6 Voronoi diagrams Spring 2024: 2.3 Graphs incl. transformation 4.1 Key terms in descriptive statistics 4.2 Presentation of data 4.3 Measures of central tendency and dispersion 4.5 Key concepts in probability 4.6 Diagrams, combined events, mutually exclusive events, independent events and conditional probability 4.7 Probability distributions and expected value 4.8 Binomial distribution 4.9 Normal distribution 4.11 Chi-squared distribution and t-test Autumn 2024: 5.1 Concept of limit and derivatives 5.2 Increasing and decreasing functions 5.3 Derivative of polynomial functions 5.4 Tangents and normals 5.5 Integration as anti-differentiation 5.6 Stationary points 5.7 Optimisation 5.8 Approximating areas using the trapezoidal rule Spring 2025: 4.10 Spearman's rank correlation coefficient vs Pearson's product moment correlation coefficient 4.4 Linear correlation and regression
Indhold	Kernestof: Significant numbers and decimal places. For every lesson bring: Ibrahim Wazir et al.: Mathematics, Applications and Interpretation, SL, Pearsons Education Limited, 2019; sider: 45-48, 52-53, 69-72, 92-144, 185, 187-193, 208-216 Reading target sequences_p_52_53.docx - From the textbook. reading target notes_to_my_future_forgetful_self_DTK.docx TVM solver_TI-84.pdf Reading target. We will work with the same section in the textbook as last time. Afsnit Homework page 139 5.2 #1,2 Homework Homework page. 105 exercise 5-9 Remember your calculator and your book. Read on your own: The chapter on surface area and volume Homework exercise 1 page 193 The clock problem.pdf page 178-180 exercise Do the sheet on sampling methods Exercise 6.5 Exercises on Venn-diagrams from OneNote. do the exercises Dependent events Bring scissor and ruler. You can print your own formulabooklet. It is in Teams under files -> klassematerialer. Bring your own formula booklet Think of your test, and reflect on focus for the rest of the year. Read: Michael Haese mf: Mathematics - Applications and Interpretation SL 2, Haese Mathematics; sider: 45-98, 101-130, 133-239, 241-267, 308-328, 335-378, 390, 395, 437-440 Domain & Range, Composite, Inverse [IB Math AA SL/HL] Voronoi revision page see below: Michael Haese mf: Mathematics - Core Topics SL 1, Haese Mathematics; sider: 19-39, 101-142, 145-169, 171-224, 239-272 Do a Google Search Summer Mock paper 1 Practise your flashcards 5 mins. every day. If you are missing 3 topics for IA. Write to me! Go thru your notes from IB1. Create 5 flashcards that relate to probability theory. You can get inspired by the pages from above. Create 4 more flashcards on probability, prior to this lesson Homework: 14F#1-4 Train with flashcards 5 mins every two days. Create 3 flashcards on normal distribution. Include it into your probability set. Remember to bring a laptop. Read Chapter A page 102-104. Entryticket for the classroom is having done your homework Bivariate Statistics [IB Math AA SL/HL] - YouTube Think about your IA and the data, that you want to work with. Remember to write in OneNote on data Preparation for today. In 16B exercise 3+6+7. Homework - Flash cards statistical testing.pptx The exercises that need to be solved is in your OneNote-private section->homework->Week 7 part 1. Do the exercises in homework-> Week 7 part 2
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