2. Determinan Matriks
Determinan matriks di definisikan sebagai selisih
antara perkalian elemen - elemen pada diagonal utama
dengan perkalian elemen - elemen pada diagonal
sekunder. Determinan dari matriks dinotasikan
dengan det atau | |. Nilai dari determinan suatu
matriks berupa bilangan real.
Matriks
3. Kelompok 3
Sandi Dermawan
Lili Ani Khusnul Khotimah
Devi Novitasari
ALJABAR LINEAR
DETERMINAN MATRIKS
4. Determinan ??
Determinan adalah suatu fungsi tertentu yang
menghubungkan suatu bilangan real dengan suatu matriks
bujursangkar.
Sebagai contoh, kita ambil matriks A2×2
A=
untuk mencari determinan matrik A maka,
detA = ad – bc
5. Determinan Matriks
Determinan matriks di definisikan sebagai selisih
antara perkalian elemen - elemen pada diagonal utama
dengan perkalian elemen - elemen pada diagonal
sekunder. Determinan dari matriks dinotasikan
dengan det atau | |. Nilai dari determinan suatu
matriks berupa bilangan real.
Matriks
6. The overall purpose of this study is to examine the developmental
research efforts to adapt the instructional design perspective of
RME to the teaching and learning of differential equations in
collegiate mathematics. A differential equations course, highlighting
reinvention through progressive mathematization, didactical
phenomenology and emergent models design heuristics, was
developed. Informed by the instructional design theory of RME and
capitalizing on the potential of technology to incorporate
qualitative and numerical approaches, this paper offers an
approach for conceptualizing the learning and teaching of
differential equations that is different from the traditional
approach.
8. Project Classroom &
Preliminary Analysis
Research on the design of primary school RME
sequences has shown that the concept of emergent
models can function as a powerful design heuristic
(Gravemeijer, 1999). The following example illustrates
the RME heuristic that refers to the role models can play
in a shift from a model-of a situated activity to a model-
for mathematical reasoning in the learning and teaching
of differential equations.
9. Graph of dN/dt.
2
Suppose a population of Nomads is
modeled by the differential equation
dN/dt =f(N).
2
2 4 6 8
-2
-4
14. Coclusion of
Illustrates the RME Heuristic
Guided and informed by the RME instructional
heuristic, students in the differential equations
course first act in mathematical situations in
progressively more formal ways where the model
comes to the fore as a model-of a mathematical
context. Then subsequently, the model changes so
that it can begin to function as a model-for
increasingly sophisticated ways of mathematical
reasoning.
15. Concluding Remarks
The study of ordinary differential equations is
essential for students in many areas of science
and technology. Many useful and interesting
phenomena in engineering and life sciences that
continuously evolve in time can be modeled by
ordinary differential equations.
16. Concluding Remarks
this research illustrates that when students
are engaged in instruction that supports
reinventing conventional representations out
of mathematizing experiences, slope fields
and graphs of solution functions can and do
emerge for their mathematical activities.
17. Concluding Remarks
Research in the teaching and learning of
mathematics at the university level is a relatively
recentand new phenomenon (Artigue, 1999);
research in the teaching and learning of
differential equations is even newer.
18. Acknowledgements
The author would like to thank Chris
Rasmussen for sharing his ideas about
structuring and teaching this
differential equations course while this
research was being conducted.
Oh Nam KWON
Ewha Womans University, Department of
Mathematics Education, Seoul, Korea
E-mail: onkwon@ewha.ac.kr
19. Mathematics within reason this slid is which
chromatic, we newly can see the beauty, if we know
and mathematics understanding of itself.
REFERENCE
