Business Analytics year 1
Vrije Universiteit Amsterdam - Faculteit der Bètawetenschappen - Business Analytics - 20222023
Business Analytics year 1 - Business Analytics - 2022-2023
Business Analytics year 1
Vakken
Accounting
Calculus 1
Calculus 2
English Language Test
Introduction to Business Analytics
Introduction to Programming (Java)
Linear Algebra
Operations Research
Probability Theory
Project Business Analytics 1
Project Business Analytics 2
Sets and Combinatorics
Vrije Universiteit Amsterdam - Faculteit der Bètawetenschappen
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Business Analytics year 1 - Business Analytics - 2022-2023
Business Analytics year 1
Omschrijving
Right at the start of your first year you get familiar with the field of
Business Analytics. You learn to solve business problems by combining
data analysis and mathematical modelling geared towards practice. As
mathematics and programming form an essential part of your work as a
future Business Analytics professional, the focus of the first year is
to lay a thorough theoretical foundation in mathematics and programming.
Moreover, you will participate in projects where you apply your
knowledge and skills to practical and business oriented situations.
The first year consists of 60 EC of compulsory courses.
Vakken
Naam vak
Calculus 1
English Language Test
Introduction to Business Analytics
Introduction to Programming (Java)
Calculus 2
Project Business Analytics 1
Sets and Combinatorics
Operations Research
Linear Algebra
Probability Theory
Accounting
Project Business Analytics 2
Periode
P1
P1
P1+2
P1+2
P2
P3
P3
P4
P4+5
P4+5
P5
P6
Credits
6.00EC
0.00EC
6.00EC
6.00EC
6.00EC
3.00EC
3.00EC
6.00EC
6.00EC
6.00EC
6.00EC
6.00EC
Code
X_400635
VU_ELT
X_400619
X_400634
X_400636
X_400316
X_400621
X_400618
X_400042
X_400622
E_IBA1_ACC
XB_0037
Vakken
Accounting
Vakcode
Studiepunten
Periode
Vakniveau
Onderwijstaal
Faculteit
Vakcoördinator
Examinator
Betrokken Docenten
Werkvormen
E_IBA1_ACC
6.00
P5
100
Engels
School of Business and Economics
dr. F.M. Arshad
dr. F.M. Arshad
prof. dr. J.L. Wielhouwer, drs. A.C. Schreuder, dr. J.P. Mendoza Rodriguez, dr. P.C.M.
Claes, dr. F.M. Arshad
Hoorcollege, Werkgroep
Doel vak
1. Academic skills. After successfully completing this course, the
student:
• recognizes fundamental accounting information and leaves out
irrelevant information
2. Bridging theory and practice. After successfully completing this
course, the student:
• demonstrates theoretical and empirical knowledge concerning accounting
in the context of international business administration
• knows the basic concepts of financial and managerial accounting
Vrije Universiteit Amsterdam - Faculteit der Bètawetenschappen
7 Jul 2022 - Pagina 3 van 16
Business Analytics year 1 - Business Analytics - 2022-2023
3. Broadening our Horizon. After successfully completing this course,
the student:
• is informed about current accounting practices
4. Social skills. After successfully completing this course, the
student:
• has excellent online communication skills
Inhoud vak
Accounting is the language required to do business. It allows
executives, managers and employees to communicate; it allows investors,
analysts, and governmental authorities to understand how an organization
is doing. Thanks to the International Financial Reporting Standards,
accounting can be seen as a global language, spoken across most
countries.
Accounting is much more than book-keeping. Without accounting, it is not
possible to evaluate a new business opportunity, assess the performance
of a company, or design a solid business strategy for the near future.
This course provides a thorough introduction to financial and managerial
accounting. It provides fundamental knowledge that all business
practices require.
This course teaches how to formally record and report economic events
and transactions, how to read accounting information to make inferences
and support decisions, and how accounting plays an active role in the
success or failure of a company. More broadly, this courses explains why
the accounting activity cannot be performed by robots, as it involves
discretion in how information is recorded and reported. Moreover, the
course offers a first look at what the accounting profession entails.
Aanvullende informatie onderwijsvormen
Lectures: 4 hours per week
Tutorials: 5 hours per week
Toetsvorm
Quizzes
Midterm exam
Written exam
Literatuur
Text book (e-book):
Weygandt, J.J., Kimmel, P.D., Kieso, D.E. (2018) Financial & Managerial
Accounting, 3rd edition. Wiley. ISBN: 978-1-119-39160-9.
https://www.wiley.com/en-nl/Financial+and+Managerial+Accounting,+3rd+Edi
Additional material will be announced on Canvas.
Aanbevolen voorkennis
Students are expected to understand algebra, and the content of Business
Mathematics or similar
courses.
Calculus 1
Vakcode
Studiepunten
Periode
Vakniveau
Onderwijstaal
X_400635
6.00
P1
100
Engels
Vrije Universiteit Amsterdam - Faculteit der Bètawetenschappen
7 Jul 2022 - Pagina 4 van 16
Business Analytics year 1 - Business Analytics - 2022-2023
Faculteit
Vakcoördinator
Examinator
Betrokken Docenten
Werkvormen
Faculteit der Bètawetenschappen
G. Benedetti
G. Benedetti
G. Benedetti
Deeltoets, Werkcollege, Hoorcollege
Doel vak
At the end of this course the student is able to
a) calculate limits, using several methods like l'Hopitals rule or the
squeeze theorem
b) calculate derivatives and to find local extreme values
c) calculate integrals, using several methods like the substitution
method, integration by parts, partial fraction expansion
d) verify if a function is continuous, differentiable,
Riemann-integrable
e) calculate and apply a Taylor polynomial
f) formulate and apply several important theorems for continuous and/or
differentiable functions, like the Intermediate Value Theorem, the Mean
Value Theorem and the Fundamental Theorem of Calculus
Inhoud vak
Real functions of one variable. Topics that will be treated are:
1) Preliminaries, Real functions, Trigonometric functions
2) Limits, Continuity, Intermediate Value Theorem
3) Transcendental Functions, Inverse Functions
4) Differentiation, Chain Rule, Mean Value Theorem
5) Applications of Differentiation, Extreme Values, l'Hôpital's Rule,
Taylor Polynomial
6) Integration, Fundamental Theorem of Calculus, Improper Integrals
Aanvullende informatie onderwijsvormen
Lectures (3 x 2 hours per week) and exercise classes (2 x 2 hours per
week).
Attendance for at least 10 out of a total of 14 exercise classes is
mandatory.
Toetsvorm
There is a midterm exam and a final exam. The midterm exam makes up for
40% and the final exam makes up for 60% of the final grade. There is one
retake which covers all topics for the
midterm exam and the final exam. Midterm exam or final exam cannot be
retaken separately!
Literatuur
Adams en Essex, Calculus: A Complete Course, 9th edition, Pearson 2018,
ISBN-10: 0134154363 • ISBN-13: 9780134154367.
Aanvullende informatie doelgroep
1 BA
Overige informatie
Attendance for at least 10 out of a total of 14 exercise classes is
mandatory!
Calculus 2
Vakcode
Studiepunten
X_400636
6.00
Vrije Universiteit Amsterdam - Faculteit der Bètawetenschappen
7 Jul 2022 - Pagina 5 van 16
Business Analytics year 1 - Business Analytics - 2022-2023
Periode
Vakniveau
P2
100
Onderwijstaal
Faculteit
Vakcoördinator
Examinator
Betrokken Docenten
Werkvormen
Engels
Faculteit der Bètawetenschappen
G. Benedetti
G. Benedetti
S. de Jong
Deeltoets, Werkcollege, Hoorcollege
Doel vak
At the end of this course the student is able to
a) determine if a series is convergent or divergent, using several tests
(like the comparison test, ratio test, alternating series test)
b) work with power series (find the radius of convergence, differentiate
or integrate termwise)
c) find the Taylor series of several functions (like exp(x), sin(x),
cos(x), ln(1+x), etc)
d) calculate dot products, cross products, vector projections, distances
in R^3
e) calculate partial derivatives, also using the chain rule
f) find extreme values of functions of two variables, with and without
constraints
g) compute double integrals, also using polar coordinates
g) calculate with complex numbers
h) solve several first- and second-order differential equations
(separable equations, first-order linear equations, second-order linear
equations with constant coefficients).
Inhoud vak
Series, vectors in R^2 and R^3, real functions of several variables,
complex numbers, differential equations.
Topics that will be treated are:
1) sequences, series, power series, Taylor series
2) vectors, dot product, cross product, vector projection, distances in
R^3
3) partial derivatives, chain rule, gradients
4) extreme values, Lagrange multiplier method
5) double integrals, polar coordinates
6) complex numbers
7) first and second order differential equations
Aanvullende informatie onderwijsvormen
Lectures (3 x 2 hours per week) and seminars (2 x 2 hours per week).
Attendance for at least 10 out of a total of 14 seminars is mandatory.
Toetsvorm
There is a midterm exam and a final exam. The final grade (G) is the
average of the midterm exam (M) and final exam (F): G=(M+F)/2. There is
one retake which covers all topics for the midterm exam and the final
exam. The midterm exam or final exam cannot be retaken separately.
Literatuur
Adams and Essex, Calculus: A Complete Course, 9th edition, Pearson 2018,
ISBN-10: 0134154363 • ISBN-13: 9780134154367.
Aanvullende informatie doelgroep
1 BA
Overige informatie
Vrije Universiteit Amsterdam - Faculteit der Bètawetenschappen
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Business Analytics year 1 - Business Analytics - 2022-2023
Attendance for at least 10 out of a total of 14 seminars is mandatory.
Aanbevolen voorkennis
Calculus 1
English Language Test
Vakcode
Studiepunten
Periode
Vakniveau
Onderwijstaal
Faculteit
Vakcoördinator
Examinator
Betrokken Docenten
Werkvormen
VU_ELT
0.00
P1
0
Engels
Overige informatie
The language proficiency test is for all first-year bachelor’s students.
The test assesses whether your language proficiency in English is high
enough for embarking on an academic career. The test focuses on the
following topics: grammar, spelling and punctuation, structure,
vocabulary/usage and formulation. The English language proficiency test
also includes: reading comprehension, pronunciation and classroom
English.
You receive a score of High, Medium or Low. If your score is Low, you
will have to take the
English refresher course.
You will only receive your credits for the first-year course that the
test is a part of once you have completed the test or the refresher
course with a pass mark. Therefore, participation in the refresher
course is by no means optional!
For more information about the language proficiency test, see:
https://www.vu.nl/en/programmes/links/language-test.aspx
Non-standard registration procedure
The faculty registers you for this course. After, check your personal
schedule to see when you have to take the test.
Introduction to Business Analytics
Vakcode
Studiepunten
Periode
Vakniveau
Onderwijstaal
Faculteit
Vakcoördinator
Examinator
Betrokken Docenten
Werkvormen
X_400619
6.00
P1+2
100
Engels
Faculteit der Bètawetenschappen
dr. R. Bekker
dr. R. Bekker
J.E.L. van Kasteren MSc, dr. R. Bekker
Werkcollege, Hoorcollege, Excursie
Doel vak
After completing this course, the student can
1. explain what Business Analytics is and understand its relations to
Vrije Universiteit Amsterdam - Faculteit der Bètawetenschappen
7 Jul 2022 - Pagina 7 van 16
Business Analytics year 1 - Business Analytics - 2022-2023
other scientific disciplines,
2. use Excel for Business Analytics purposes,
3. deal with problems from descriptive, predictive, and prescriptive
analytics,
4. assess the outcome of methods from Business Analytics and discuss its
relevance for the underlying problem,
5. read and understand papers in the domain of Business Analytics,
6. present the Business Analytics approach clearly and insightfully in a
practical setting.
Inhoud vak
In this course, students get an understanding of what Business Analytics
is. You will work on a large case study that incorporates a variety of
aspects that you may find in a Business Analytics project. Moreover, the
course helps you to understand the contents and the objectives of the
Business Analytics curriculum. You will learn to see the connections
between the different scientific fields and the skills that you need.
You will develop data literacy, work with Excel for data analysis and
the construction of a mathematical model, and acquire an
analytic mindset that will help you in data-driven decision making. In
addition, 3 lectures are devoted to Academic Writing with corresponding
assignments.
Aanvullende informatie onderwijsvormen
Lectures and practical tutorial sessions.
Toetsvorm
The final assessment is based on individual Excel assignments,
assignments and reports regarding the case study, presentation, and
final grade of the Academic Writing module. Students should pass the
individual Excel assignments, whereas a weighted average over the other
parts is taken, which should be at least 5.5. The average of the
assignments for the Academic Writing module should also be at least 5.5.
The precise assessment will be made available on Canvas. There are no
resit options for this course.
Aanvullende informatie doelgroep
1BA
Overige informatie
Attendance is compulsory. It is convenient to bring your own laptop with
Excel. If you do not have a license yet for Excel, then you can purchase
Microsoft Office with a student discount via Surfspot.nl with your VUnet
ID. All three versions suffice: Office 365, 2016, or 2019.
Introduction to Programming (Java)
Vakcode
Studiepunten
Periode
Vakniveau
Onderwijstaal
Faculteit
Vakcoördinator
Examinator
Betrokken Docenten
Werkvormen
X_400634
6.00
P1+2
100
Engels
Faculteit der Bètawetenschappen
J. Veltman
J. Veltman
J. Veltman
Practicum, Hoorcollege
Doel vak
Vrije Universiteit Amsterdam - Faculteit der Bètawetenschappen
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Business Analytics year 1 - Business Analytics - 2022-2023
After finishing the course, students will:
- have an understanding of the basic principles and concepts of
programming. (Knowledge and understanding)
- be able to read and write computer programs and algorithms in Java.
(Knowledge and understanding) (Applying knowledge and understanding)
- use the computer to solve problems in a structured manner. (Applying
knowledge and understanding) (Making judgements) (Lifelong learning
skills)
Inhoud vak
In this course, students will learn how to program in the programming
language Java. Rather than focusing on Java-specific topics, the course
focuses mainly on the basic principles of programming, with emphasis on
good programming style and structure. These principles are applicable to
any object-oriented or imperative programming language, which makes it
easier for students to adapt to other programming languages during their
further research or study.
The following topics are covered: programming languages, algorithms,
primitive types, declaration statements, expressions, assignment
statements, object types, I/O (using the PrintStream and Scanner class),
methods, standard classes String and Math, control flow, writing
methods, writing classes, arrays, matrices, program design, recursion,
and using a graphical interface through a pre-programmed library.
Aanvullende informatie onderwijsvormen
Lectures (4 hours per week) and practical sessions (3 hours per week).
During the practical sessions, students will be divided into practical
groups, each supervised by a teaching assistant. There are no practical
sessions during the first week of the course.
Toetsvorm
The final grade consists of a practical grade and an exam grade.
During the practical, students have to hand in an individually graded
assignment once every two weeks. The practical grade is determined by
the weighted average of these graded assignments.
In order to pass the course, the practical grade and the exam grade both
need to be at least a 5.5. If this is the case, the final grade F
follows from the practical grade P and the exam grade E by F = max(E,
(2* E + P) / 3).
There is no resit opportunity for the practical work.
Literatuur
Walter J. Savitch, Absolute Java, Global Edition, ISBN: 9781292109220
Aanvullende informatie doelgroep
Bachelor Business Analytics (year 1)
Bachelor Econometrics and Operations Research (year 1)
Overige informatie
Registration for practical groups will happen via Canvas during the
first or second week of the course.
Linear Algebra
Vakcode
Studiepunten
Periode
Vakniveau
Onderwijstaal
X_400042
6.00
P4+5
100
Engels
Vrije Universiteit Amsterdam - Faculteit der Bètawetenschappen
7 Jul 2022 - Pagina 9 van 16
Business Analytics year 1 - Business Analytics - 2022-2023
Faculteit
Vakcoördinator
Examinator
Betrokken Docenten
Werkvormen
Faculteit der Bètawetenschappen
dr. J.P. Mujica MSc
dr. J.P. Mujica MSc
dr. J.P. Mujica MSc
Deeltoets, Hoorcollege, Werkcollege
Doel vak
After successfully completing this course, the student
- has a working knowledge of the concepts of matrix algebra
and finite-dimensional linear algebra, such as echelon form,
LU-decomposition, linear independence and determinants;
- is familiar with the general theory of finite-dimensional
vector spaces, in particular with the concepts of basis and dimension;
- is familiar with the concepts of eigenvalues and
eigenvectors, diagonalization and singular value decomposition
and can apply these concepts in basic applications in
discrete time dynamical systems;
- has working knowledge of the concepts of inner product spaces and
matrices acting in inner product spaces, including orthogonal
projections and diagonalization of symmetric matrices.
Inhoud vak
- systems of linear equations
- linear (in)dependence
- linear transformations and matrices
- matrix operations
- determinants
- vector spaces and subspaces
- basis and dimension
- rank of a matrix, dimension theorem
- coordinate systems and change of basis
- eigenvalues and eigenvectors
- diagonalization of matrices
- inner product, length and orthogonality
- orthogonal bases and least-squares problems
- diagonalization of symmetric matrices
- singular value decomposition
Aanvullende informatie onderwijsvormen
2 lectures and 1 exercise class per week
Toetsvorm
Four small tests (20 percent, only the best three are taken into
account), a midterm exam (40 percent) and a final exam (40 percent).
There is a resit. For students taking the resit the final grade is
determined by the maximum of 0.2 times the average of the best
three tests plus 0.8 times the result of the resit, and just the resit.
Literatuur
David C. Lay, Stephen R. Lay and Judi J. McDonald, Linear Algebra and
its Applications, 5th edition, Pearson Global Edition, ISBN-13
9781292092232
Aanvullende informatie doelgroep
1BA
Operations Research
Vakcode
X_400618
Vrije Universiteit Amsterdam - Faculteit der Bètawetenschappen
7 Jul 2022 - Pagina 10 van 16
Business Analytics year 1 - Business Analytics - 2022-2023
Studiepunten
Periode
6.00
P4
Vakniveau
Onderwijstaal
Faculteit
Vakcoördinator
Examinator
Betrokken Docenten
Werkvormen
100
Engels
Faculteit der Bètawetenschappen
dr. D.A. van der Laan
dr. D.A. van der Laan
dr. D.A. van der Laan
Hoorcollege, Werkcollege
Doel vak
Acquaint the student with the use of mathematical techniques for solving
deterministic optimization problems. Subjects studied are:
- Modelling with linear and integer linear optimization
- Solution methods (algorithms) for solving these problems
- Fundamental problems in network optimization
- Dynamic programming
Inhoud vak
The course is a first introduction to optimization. Given a large number
of decisions to be made, subject to certain constraints on what
combination of these decisions are allowed, what choices will lead to
the best possible outcome (such as maximum profit)?
We will discuss the modelling of verbally-described practical problems
using appropriate mathematical formulations - in particular, linear
optimization and integer linear optimization models. Extremely powerful
software tools for solving such models, and they are widely used in
industry. We will see the basic algorithmic principles upon which these
software tools are based: in particular, the simplex method for linear
optimization, and building on this, the branch-and-bound method for
integer linear optimization.
Many problems have specific structure that can be exploited to obtain
much faster algorithms. We will see this in two contexts:
- Network optimization problems. What is the shortest way to get between
two nodes in a network? Or the cheapest way to build a road network
between a given collection of cities so that all cities are connected?
We will develop efficient algorithms for these (and similar) problems.
- Dynamic programming. This is a fundamental technique in computer
science. Determining whether and in which way this technique can be
applied to a given problem is challenging, but it can provide extremely
fast algorithms.
Aanvullende informatie onderwijsvormen
Lectures: 4 hours per week. Tutorials: 3 hours per week.
During lectures the material will be presented based on the book and
supplementary lecture notes.
In the tutorials, students will work on the exercises themselves and
have the opportunity to get help from the teaching assistants. The last
part of a few tutorials will be reserved to a small selection of
exercises (pretest)
to be handed in for grading. In case of tutorials on campus students can
work in small groups (2 or 3 per group) on these pretests.
Toetsvorm
- At most 3 pretests which will be scheduled during the tutorials. If
the student participates in all 3 pretests then the best 2 pretest
results will count for the pretest average. The pretest average may
comprise 10 % of the final grade if the pretest average is higher than
Vrije Universiteit Amsterdam - Faculteit der Bètawetenschappen
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Business Analytics year 1 - Business Analytics - 2022-2023
the exam grade. A student has to participate in at least 2 pretests for
the possibility to use (for 10 %) the pretest average in computation of
the final grade.
- A written exam will constitute the remaining 90% (or 100 % if pretest
average is not counted) of the final grade.
Vereiste voorkennis
None
Literatuur
H. Taha. Operations Research: An Introduction (10th Edition).
Provided lecture notes
Aanvullende informatie doelgroep
1BA
Toelichting Canvas
Canvas will be used extensively during the course
Aanbevolen voorkennis
None
Probability Theory
Vakcode
Studiepunten
Periode
Vakniveau
Onderwijstaal
Faculteit
Vakcoördinator
Examinator
Betrokken Docenten
Werkvormen
X_400622
6.00
P4+5
200
Engels
Faculteit der Bètawetenschappen
dr. M. Frolkova
prof. dr. R.W.J. Meester
dr. C.M. Quant
Deeltoets, Hoorcollege, Werkcollege
Doel vak
After this course:
1. Students know the three axioms of probability and associated
basic propositions and are able to use these to compute probabilities of
events.
They understand the concept of independence and can compute conditional
probabilities (directly or with Bayes' rule).
2. Students can compute probability mass functions and density
functions, cumulative distributions, expectations and variances of
discrete and continuous random variables. They also know important
discrete and continous probability distributions (Bernoulli, binomial,
Poisson, geometric, hyper geometric, uniform, normal
and exponential distribution) and their properties and know in which
context these distributions occur.
3. Students can work with jointly distributed random variables. They
can compute probabilities, use the concept of independence in this
context, compute marginal distributions, conditional distributions,
(conditional) expectations, covariances and correlations.
4. Students can compute the probability distribution of a function of
a random variable or a random vector.
5. Students know and can apply the central limit theorem.
Inhoud vak
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Business Analytics year 1 - Business Analytics - 2022-2023
We study experiments in which randomness plays a role. We first consider
discrete probability experiments: experiments with a countable
number of possible outcomes. You can think of tossing dice, shuffling a
deck of cards, flipping coins etc. The possible outcomes form a set,
the so called sample space. Every subset of this sample space is an
event. We assign reasonable probabilities to events, such that
the three axioms of probability are satisfied. We compute probabilities
in these situations and consider associated concepts such as
independence,
conditional probabilities, random variables and important discrete
probability distributions e.g. the Bernoulli, Binomial, geometric,
hypergeometric and Poisson distribution.
We then consider experiments with an uncountable number of possible
outcomes and continuous random variables. We consider a number of
well-known continuous distributions: the uniform, exponential and normal
distributions. We study joint distributions of several
(discrete or continuous) random variables. In this context we deal with
independence, conditional distributions and expectations, distributions
and expectations of functions of random vectors and covariance. We study
the Central limit theorem and normal approximations to Binomial
distributions.
Aanvullende informatie onderwijsvormen
lectures (4 hours per week) and tutorials (2 hours per week). There will
be 4 short tests during the tutorials.
Toetsvorm
Midterm exam (40%), final exam (40%) and short tests (20%), see Canvas
for the details.
Literatuur
Anderson, D.F, Seppäläinen, T, and Valkó, B, Introduction to
Probability, Cambridge University Press, 2018.
Aanvullende informatie doelgroep
Mathematics and BA, year 1 and premaster Mathematics
Aanbevolen voorkennis
-First year calculus courses for BA or Mathematics. Mathematics students
have their second Calculus course simultaneously with Probability
Theory.
-Sets and Combinatorics (BA) or Basic Concepts in Mathematics
(Mathematics). If you were unable to take the course Basic Concepts
in Mathematics or Sets and Combinatorics, e.g. because you are a part
time
student, it is recommended that you study Appendix B and C of the book
before the
start of the course.
Project Business Analytics 1
Vakcode
Studiepunten
Periode
Vakniveau
Onderwijstaal
Faculteit
Vakcoördinator
Examinator
Betrokken Docenten
X_400316
3.00
P3
100
Engels
Faculteit der Bètawetenschappen
dr. A. Zocca
dr. A. Zocca
J.E.L. van Kasteren MSc, dr. A. Zocca
Vrije Universiteit Amsterdam - Faculteit der Bètawetenschappen
7 Jul 2022 - Pagina 13 van 16
Business Analytics year 1 - Business Analytics - 2022-2023
Werkvormen
Practicum, Hoorcollege
Doel vak
The objective of the course is to expose students to Business Analytics
in Microsoft Excel. After this course, the student should be able to:
1. model practical business problems in Excel,
2. solve optimization problems in Excel,
3. write a clear and concise management report,
4. give a clear presentation on the solution of a practical use case.
Inhoud vak
The course deals with business modeling and optimization techniques in
Excel. Students will be exposed to simplified business problems that can
be solved with methods and techniques that they have been taught in
previous courses. This project will also enhance Excel skills and
further develop business and academic writing. The project is finalized​
by individual oral presentations.
Aanvullende informatie onderwijsvormen
During the course,​ students will work individually as well as in groups
of at most 3 persons.
Toetsvorm
The final assessment is based on individual Excel assignments (that
count for 30% of the final grade), a management report for the group
assignment (that counts for 40% of the final grade), and individual oral
presentations (that count for 30% of the final grade). There are no
resit options for this course.
Literatuur
No additional book or literature will be used in the course.
Aanvullende informatie doelgroep
1BA
Toelichting Canvas
All the course material will be made available on Canvas.
Project Business Analytics 2
Vakcode
Studiepunten
Periode
Vakniveau
Onderwijstaal
Faculteit
Vakcoördinator
Examinator
Betrokken Docenten
Werkvormen
XB_0037
6.00
P6
100
Engels
Faculteit der Bètawetenschappen
dr. W. Kager
dr. W. Kager
J.E.L. van Kasteren MSc, dr. R. Bekker, dr. W. Kager
Deeltoets, Computerpracticum, Hoorcollege, Werkcollege
Doel vak
After completion of this course, the student can
1. explain the concepts of risk and uncertainty, and apply several
methods to measure and manage risks (a.o. Value at Risk, Expected
Shortfall, Efficient Frontier, Diversification);
Vrije Universiteit Amsterdam - Faculteit der Bètawetenschappen
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Business Analytics year 1 - Business Analytics - 2022-2023
2. use spreadsheet software (e.g. Excel or LibreOffice Calc) to perform
Monte Carlo simulations;
3. build a simulation model using spreadsheet software for a practical
problem in risk management, using provided data as input;
4. analyze and assess risks and give a recommendation on the basis of a
(simulation) model;
5. present his/her approach and results both in a written report and in
an oral presentation.
Inhoud vak
This course focuses on obtaining a broad understanding of the concepts
of risk and uncertainty and how they can arise in a variety of (not
necessarily financial) settings. You will apply these concepts in
exercises and work in teams to solve simplified business cases about
risk management using simulation models that you build using
spreadsheet software. You will use knowledge obtained in other Business
Analytics courses in the first year, in particular the courses
Probability Theory and Operations Research, to create and analyze your
model. You will write a report about the simplified business case and
give an oral presentation on the results and conclusions.
Aanvullende informatie onderwijsvormen
A combination of lectures, tutorials, computer labs and self-teaching
via Canvas. The expected contact hours are as follows: in the first
week, three 2-hour lectures and five 2-hour tutorials / computer labs;
in the second and third week, two 2-hour lectures and six 2-hour
tutorials / computer labs. In the fourth week you have to give a final
presentation on your team project; the schedule for this will be
specified via Canvas.
Toetsvorm
The final grade is composed of the following parts:
part A: individual assignments;
part B: group assignments;
part C: written report and individual presentation on a team project;
part D: individual exam.
The precise terms of assessment and the weights of the different parts
of the grade will be specified on Canvas.
A resit opportunity is offered only for the individual exam (part D).
Literatuur
Will be specified on Canvas.
Aanbevolen voorkennis
Probability Theory (in particular, we require knowledge of the standard
discrete and continuous probability distributions, and the rules for
mean, variance and standard deviation).
Sets and Combinatorics
Vakcode
Studiepunten
Periode
Vakniveau
Onderwijstaal
Faculteit
Vakcoördinator
Examinator
Betrokken Docenten
Werkvormen
X_400621
3.00
P3
100
Engels
Faculteit der Bètawetenschappen
dr. I. Canakci
dr. I. Canakci
dr. I. Canakci
Hoorcollege, Werkcollege
Vrije Universiteit Amsterdam - Faculteit der Bètawetenschappen
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Business Analytics year 1 - Business Analytics - 2022-2023
Doel vak
After completing this course, the student
1. is able to prove identities between sets using Venn diagrams and the
algebra of sets or logical reasoning;
2. can compose sets using set operations to produce a desired set, and
conversely, determine the elements of such a composed set;
3. can work with the standard sample spaces of Probability Theory to
compute the sizes of such sample spaces and of typical events;
4. can decide whether a given function is injective, surjective and/or
bijective;
5. can determine images and preimages of sets under a given function;
6. is able to construct proofs by mathematical induction and apply the
binomial and multinomial theorem in calculations.
Inhoud vak
Sets, set operations, the algebra of set theory, the laws of De Morgan,
product sets and power sets, standard sample spaces of Probability
Theory, basic rules of combinatorics, permutations and combinations,
binomial and multinomial coefficients, binomial and multinomial theorem,
cardinality and (un)countability, functions and graphs, the principle of
mathematical induction.
Aanvullende informatie onderwijsvormen
In each of the first three weeks: two lectures of 2 hours, and one
tutorial of 3 hours. In the fourth week: one lecture of 2 hours and one
tutorial of 2 hours before the final exam.
Toetsvorm
Three written pretests during each of the first three tutorials, and a
written exam at the end of the course. The exam determines 75% of the
grade, the pretests together determine 25% of the grade. The final grade
is the weighted average of the exam and the pretests (in particular, a
bad grade for one test can be compensated by a good grade for another
test). For the resit exam, the pretests are only taken into account if
this is in the student's favour. If the average grade of the pretests is
lower than that of the resit exam, only the grade of the resit exam will
count. There is no resit possible for pretests only.
Literatuur
Lecture Notes for the course and all additional course materials will be
provided through Canvas.
Aanvullende informatie doelgroep
1BA
Vrije Universiteit Amsterdam - Faculteit der Bètawetenschappen
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